Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)最新文献

{"title":"Common Discrimination Method and Evaluation of Water Inrush Source in Mine","authors":"Chao Li, D. Yao","doi":"10.2991/MASTA-19.2019.53","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.53","url":null,"abstract":"Discrimination of mine water inrush source has always been the focus of academic circles. In order to do a good job in mine water inrush prevention and control, it is necessary to find out the source of mine water inrush. Combining with the relevant research results in recent years, this paper focuses on discussing several commonly used methods for identifying mine water inrush sources, such as conventional hydrochemical characteristics discriminant method, isotope analysis method, distance discriminant analysis method, BP neural network method, etc, pointing out their respective advantages and disadvantages. It is concluded that each method has its limitations, selection and determination methods should be based on the actual situation of hydrogeology and comprehensive utilization of various methods, which can greatly improve the accuracy of water inrush source identification and overcome the shortcomings of single method. It can provide some reference and guidance for related research work. Introduction In coal mining and production, mine water inrush is one of the most important mine safety disasters, which is parallel with fire, gas and other accidents. It has been a serious threat to the safety of coal mining for a long time, how to find out the cause of water inrush timely and accurately and determine the source of water inrush is the primary problem to solve and further prevent water inrush accidents, and also the precondition to do a good job of follow-up treatment work[1]. To distinguish the source of mine water inrush, it is necessary to comprehensively consider the hydrogeology and geological structure conditions of the mining area, and make full analysis by using the basic data of hydrochemistry, water temperature, water level and so on[2].Among them, hydrochemical data is the most objective reflection of groundwater characteristics. Water quality data can be used to identify water sources accurately, quickly and economically[3].In recent years, the discriminant analysis method of mine water inrush source has developed rapidly. From the initial environmental isotope analysis method and conventional hydrochemical characteristics discriminant method, multivariate statistical analysis method (distance discriminant analysis method, etc) and non-linear identification method (BP neural network method, etc) have been gradually created. These methods complement and verify each other, which is the main method of water source discrimination at present[4], and also makes the theory of water source discrimination step into a mature stage gradually. This paper will mainly elaborate and evaluate the methods listed above. Discrimination Method of Conventional Hydrochemical Characteristics Detailed Description of the Method The hydrochemical characteristic discriminant method is a method to determine the source of water inrush by studying the hydrochemical characteristics (main ion characteristics) of each aquifer. This method focuses on three main c","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124070095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Method for Chinese Entity Relationship Extraction Based on Bi-GRU","authors":"Jian-qiong Xiao, Zhi-yong Zhou, Xingrong Luo","doi":"10.2991/MASTA-19.2019.9","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.9","url":null,"abstract":"In order to solve some defects of single deep neural network in Chinese entity Relationship Extraction task, a hybrid neural network entity relationship extraction model is designed and implemented in this paper. The model combines convolution network and bidirectional GRU model with a unified architecture, by defining varisized regional list embedding, it produces nonobjective feature representations of word vectors in distinction positions, and it has only Chinese character vectors and Chinese character word vectors, without position embedding. The laboratory findings show that our method is very effective on the Chinese corpus ACE2005 dataset about entities extraction task. Introduction Aiming at the problem that the traditional CNN model ignores the text context and leads to the lack of text semantics, a convolution layer improvement algorithm is proposed in this paper. By stripping the convolution layer from the CNN model, the convolution layer structure is improved, by defining a varisized sizes regional list embedding, and producing nonobjective feature representation of word vectors at imparity locations, which results in more accurate feature representation by fusing multiple local features, and position vectors aren’t required. Related Work Many researchers have putted forward to a number of solid relational extraction methods based on deep neural networks. Liu et al. [1] is first team who used convolution neural network to automatically learn sentence representation for relational classification tasks, the characteristics of lexical features, lexicality and so on are added to the model, their model get F1 value in the corpus ACE2005 dataset, and exceed the kernel function method 9%. Dong-xu Zhang et al. [2] used RNN to get varisized location feature by training corpus. Zhang [3] proposed using bidirectional long short-term memory network(Bi-LSTM) to build whole sentences extract model, this model used many features, include NLP tools and lexical resources, POS, NER and so on, of course, it achieved the state-of-the-art result. In order to make full use of the competitive advantages of existing neural networks, Sun ziyang et al. [4] also used BiLSTM to model sentence dependency shortest path, and this model use out of CNN as input of LSTM to train the model. This method took full comprehensive advantage of Bi-LSTM model and the CNN model, because Bi-LSTM is good at capturing distance mutual relationship, while CNN can capture the local flat characteristics of sentences. In view of above research, we propose a method for Chinese entity relationship extraction based on bidirectional Gated Recurrent Unit (RLE-BiGRU), it is a new means by defining a new vector (RLE). Experiments result is F1-score of 85.3% on the Chinese corpus ACE2005 dataset, which shows the validity of the work in this paper for the Chinese entity relations extraction. Model In this section we introduce our RLE-BiGRU model in detail. Figure 1 is the model photograph. Our","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129027952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research and Application of Prediction Control Method Based on Automatic Optimization of Coal Volume in AGC","authors":"Xiaogang Xin, Shaojia Dang, Cheng-guo Qin, Guopeng Zhang, Rui Guo","doi":"10.2991/MASTA-19.2019.39","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.39","url":null,"abstract":"One circulating fluidized bed boiler (CFB) generator set of a thermal power plant in Inner Mongolia power grid planned to put into automatic power generation control (AGC) by transforming the software and hardware of the unit. This can reduce the electricity allocation and punishment by the power grid. In order to overcome the characteristics of large delay and inertia of CFB unit and improve the quality of AGC, a multi-feedforward is added to the boiler master, the prediction section and configuration of coal quantity were designed, and a new objective function was devised to self-optimize the coal quantity. Logic of automatic optimization was made to improve the control indexes of AGC. After the AGC test was finished and AGC was put into operation, the indexes of AGC are excellent, which not only eliminates the AGC power punishment, but also obtains the reward.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117143906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between the Surface Cracks and the Internal Fractures of A Slope Based on Fracture Degree","authors":"Jian-Ping Zhang, Dong Zhou","doi":"10.2991/MASTA-19.2019.45","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.45","url":null,"abstract":"The relationship between the surface cracks and the internal fractures of a Slope based on fracture degree is proposed. Fracture degree of a slope is defined as the ratio of the current crack number to the catastrophic crack number. The relationship between surface crack and internal fracture state is established with numerical simulations on a series of typical slopes. The study shows that there exists an obvious complementary effect between fracture degree of the surface and fracture degree of the slip surface, which can help to find the critical state of a slope through crack on the earth surface. Introduction For landslide analysis, there have been lots of methods, among which the most widely used include limit equilibrium method[1,2], strength reduction method[3,4], and etc. The limit equilibrium method is an effective way to analysis the stability of a slope and has been successfully used in many practical engineering problems. The core concept of this method is to divide the whole slope body into a series of straight rigid blocks, and determine the safety factor according to force equilibrium on the slip surface. Strength reduction method has considered the deformation and stress-strain relationship of the slope with finite element method(FEM). Slope with complex landform and geological conditions can also be calculated. Since fracture is an essential feature in the evolution process during landslide disasters, stability analysis method considering fracture gets more and more attention. With the development of computer science, numerical simulation becomes a powerful tool in slope stability analysis. Discrete element method proposed by Cundull[5] could describe the discontinuous behavior of the joint body, which is widely used in rock mechanics and slope engineering[6,7]. Discontinuous deformation analysis(DDA) introduced by Shi[8] is another effective method to investigate the fracture of a slope, and numerical expression of this method is more rigorous. Li[9,10] introduced a numerical method called continuum-discontinuum element method(CDEM), which coupled FEM and DEM. With this method, the continuous body is calculated with FEM and the boundary of block is calculated with DEM. CDEM is suitable to describe the growth of cracks and simulate the progressive failure process of the landslide. The evolution of cracks on the earth surface can usually be observed during different stages of a landslide. Surface cracks could be a clear message that would reveal the current state of a slope. The number of surface cracks should reflect the damage degree of a geologic body and the state of internal force during failure process. The information obtained from surface cracks contains displacement field of the earth surface, which is more informative comparing to the monitoring points. Surface cracks will influence the effect of rainfall, since cracks could help water permeate into the geologic body. Meanwhile, surface cracks can be obtained through ver","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Semi-physical Simulation Maintenance Training System of One Engineering Equipment","authors":"W. Chu, Xiao-hui He, Z. Zhu","doi":"10.2991/MASTA-19.2019.6","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.6","url":null,"abstract":"","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130605179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fatigue Analysis of A Railway Hydraulic Damper with Welding Imperfections under Actual In-service Load Conditions","authors":"Wenlin Wang, Baogen Huang, Jian-ming Du, S. Iwnicki","doi":"10.2991/MASTA-19.2019.62","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.62","url":null,"abstract":". Fatigue analysis of a railway vehicle axle-box hydraulic damper was carried out in this study. The damping force profiles under nominal and actual in-service load conditions were simulated, and the corresponding load spectra were obtained using the rain-flow cycle counting approach. Further fatigue analyses of the hydraulic damper under nominal and actual in-service load spectra and with welding imperfections were conducted. Results demonstrate that the maximum local stress of the damper would increase and fatigue life would be remarkably reduced when using the actual in-service load spectra. If the damper also has multiple welding imperfections, such as with porosities and misalignment of parts, the damper would be readily subject to premature failures. For this reason, many current high-speed rail hydraulic dampers are still subject to premature failures despite being designed to nominal load cases. Thus, a nonlinear in-service damper model and the actual in-service load spectra should be used in further damper structural development, the results obtained in this study could also be instructive in improving damper structure welding technique and inspection.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123260962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Improved Grey Prediction Method of Airport Passenger Throughput","authors":"Jia-juan Chen, Dachuan Ding, Chuan-tao Wang","doi":"10.2991/MASTA-19.2019.16","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.16","url":null,"abstract":"Airport passenger throughput prediction is of great significance to the operation and development of the airport. Based on the grey prediction method, this paper studies the future passenger throughput of the Capital International Airport and the Beijing New Airport. In this paper, the traditional grey prediction model is improved and the passenger throughput of the two airports from 2019 to 2025 is predicted and analyzed. The prediction results show that the improved grey model can improve the accuracy and reduce the prediction error. Introduction The prediction of airport passenger throughput is the basic premise of airport and airline operation, and also an important basis for airport resource allocation. The accuracy of prediction results affects the scale of airport construction and expansion directly. This paper improves the grey model and predicts the passenger throughput of the Capital International Airport and the Beijing New Airport from 2019 to 2025, provides a reference for the future operation and management of the two airports. Prediction methods can be roughly divided into: qualitative analysis [1], trend extrapolation [2], econometric [3], combination prediction method [4-5], etc. Different prediction methods can be used depending on the predicted scene and the predicted data. Grey prediction model (GM) is a time series model based on grey theory, which is used to deal with uncertain and rough data sets. “Grey” reveals an unclear system [6]. Grey theory can deal with incomplete and discrete data. [7], GM model is more robust to noise data and missing data [8]. This model has been proved [9] to be superior to other prediction methods in the processing of short-term prediction. For a long-term prediction, the original GM model needs to be improved. From this point of view, many predictions are for short-term predictions, and there are fewer improvements to the model. Due to the few data of the Capital International Airport and the Beijing New Airport, the grey prediction model can better fit its data development trend, so this paper uses the grey model for prediction and improves the accuracy of the model. Improvement of GM (1, 1) Model The GM (1, 1) Model can be expressed as     (1) ^ (0) 1 , (1) , 0,1,... 1 ak u u X k ce c X k n a a        . (1) For equation (1), when k=0, ... , n-1, the data obtained are fitted values. When k  n, the data obtained are the predicted values. Performing a subtraction on equation (1):       (0) (1) (1) ^ ^ ^ 1 1 , 0,1,... 1 X k X k X k k n       . (2) International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Countermeasure of Management Status of Chinese Seafarer Intermediary Company","authors":"Yiming Xia, Tian-ming Ding, Wan-zheng Ai","doi":"10.2991/MASTA-19.2019.72","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.72","url":null,"abstract":"This paper aims to expose the current management situation of Chinese seafarer intermediary companies, such as \"black intermediary\". To speed up the standardization of Chinese seafarer intermediary organizations to make contributions. Through extensive reading of relevant literature and research, data were obtained. Then draw a conclusion on the basis of analyzing the data and put forward the improvement measures. In the past, there were many studies on Chinese seafarer intermediary agencies, but most of them were targeted at the management and legal status of the agencies. This paper focuses on the current situation of China's seafarer service institutions for a systematic study and then give countermeasures. Introduction Seafarer intermediary agencies is manage seafarer affairs in place of ship owners, provide ship owners with ship crew configuration, and provide training, examination, application for certificates (including foreign crew certificates) and other relevant procedures for crew members. To put it simply, it is the intermediary between the crew and the shipowner. The crew establishes the labor contract relationship with the shipowner with the assistance of the agency, while the agency provides intermediary services between the crew and the domestic or overseas shipowners. Seafarer intermediary agencies play a very important role in the market and play an important role in the circulation of seafarer labor and the allocation of seafarer labor resources. One of them is that the seafarer intermediary agencies can play a role in transmitting the information of seafarer labor services. The collection, processing, processing and dissemination of seamen's labor information by seamen's labor service intermediary organizations can regulate the reasonable circulation of seamen's labor force and reduce labor costs. Second, the crew intermediary agencies can promote the optimal allocation of crew labor resources and social resources. Thirdly, seafarer intermediary agencies establish trust among seafarers, ship owners and other seafarer employing units, and can provide various seafarer labor intermediary services, thus assisting the government to complete certain social functions. The Current Situation of Chinese Seafarer Intermediary Agencies In recent years, with the rapid development of China's shipping industry, the seafarer service agencies have also made great strides forward. The reason is that great changes have taken place in the human resource management of China's shipping enterprises. Instead of hiring their own crews and managing their own fleets, shipping companies are reducing their reserves and costs. Let crewmen realize market operation to a greater extent. Therefore, the majority of the free crew through the intermediary companies to contact the shipowner. The rapid development of intermediaries has also led to problems. On the one hand, the uneven distribution and uneven development of the east and west of crew intermediary ser","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123455229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Prediction of Casualties after Earthquakes Based on Systematic Review and Empirical Data","authors":"Bihan Tang, Qi Chen","doi":"10.2991/MASTA-19.2019.51","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.51","url":null,"abstract":". Background : To understand the occurrence trend of earthquake casualties and identify key risk factors. Methods : We constructed a dynamic estimation model to analyze and simulate the occurrence of casualties after earthquakes and to predict the influence of earthquake magnitude and rescue team arrival speed on incidence of injuries and deaths. The model was conducted in MATLAB software. Results : In general, half the total casualties are usually certified in the first 23 hours after an earthquake; 80 percent of all casualties of an earthquake are usually certified in the first 77 hours after an incident, and usually 164 hours after an incident 99 percent of the total deaths are certified and the death toll tends to stabilize. If all rescuers arrive in earthquake-stricken areas in the first three days after an earthquake, casualty status can be greatly improved. Conclusions : Our research put forward a dynamic estimation model to simulate casualty occurrence in changing environments. at early stage of the of an inflection point and RGP transitions into a stable growth period(SGP)of casualties with a gradually decreasing growth rate till the rescue work ends.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129425782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Target Tactical Intention Recognition Based on Fuzzy Dynamic Bayesian Network","authors":"Zhen Lei, Zhixue Dong, Dong-ya Wu","doi":"10.2991/MASTA-19.2019.41","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.41","url":null,"abstract":"In order to make full use of the advantage of fuzzy set theory in discretizing continuous variables and reduce the uncertainty brought by traditional static Bayesian network, this paper applies the method of fuzzy dynamic Bayesian network to reasoning learning of battlefield target tactical intention recognition based on the analysis of the observation values of height, speed and distance. The simulation results show that the method is effective and can provide new ideas for target tactical intention recognition. Introduction In view of situation assessment, the Joint Council of Laboratories of the United States Department of Defense (JDL) proposed a multi-level hierarchical battlefield information model and a relatively recognized definition of battlefield situation assessment [1], which has an important impact on understanding situation assessment, and also provides a reference for scholars in various countries to carry out relevant research. Target tactical intention recognition[2] has always been a research difficulty in this field, mainly because there are many uncertain factors in target intent recognition. Bayesian network[3] is one of the most effective probabilistic relational image description models in uncertain knowledge representation and probabilistic reasoning. Professor Pearl establishes the basic theory system of Bayes network[4], uses the characteristics of Bayesian network to gather and identify, and determines the direction of some edges based on Bayes statistics and graph theory. Traditional Bayesian networks[5] refer to static Bayesian networks, which do not provide a direct way to express time dependence. Dynamic Bayesian network[6] (DBN)adds time dimension to traditional static Bayesian network. In addition, because the reasoning and learning process of continuous Bayesian network is more complex, and in practical application, Bayesian network of continuous nodes and Bayesian network of mixed nodes are widespread. In order to make full use of the advantage of fuzzy set theory in discretization of continuous variables, the clear node variables of dynamic Bayesian network are extended to the fuzzy node variables. The method of fuzzy dynamic Bayesian network is applied to reasoning learning of battlefield target tactical intention recognition. Mathematical Description of Tactical Intention Recognition Tactical intentions of targets are hidden in specific actions or behaviors of targets, and can not be observed directly. Therefore, the process of inference of target intentions can be carried out according to the information acquired, the principles of tactical use, the methods of use and the commonly used domain experience knowledge, combined with the observed target actions and behavior patterns. Assuming that the knowledge of military field is MK MK ,MK ,...MK and the real-time data information is RD RD , RD ,...RD , the estimation of tactical intention can be described as the determination of confidence P H|K, S of uncertai","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129532305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}