发布求助
文献互助 智能选刊 最新文献

Third International Workshop on Advanced Computational Intelligence最新文献

筛选
英文 中文
Relationship analysis between chaotic characteristics of acoustic emission signal and tool wear condition 声发射信号混沌特性与刀具磨损状况的关系分析
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585164
Jianhui Xi, Wenlan Han, Yanmei Liu
{"title":"Relationship analysis between chaotic characteristics of acoustic emission signal and tool wear condition","authors":"Jianhui Xi, Wenlan Han, Yanmei Liu","doi":"10.1109/IWACI.2010.5585164","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585164","url":null,"abstract":"The paper is mainly aimed at building a method to monitor tool wear condition based on analysis of chaotic characteristics of acoustic emission (AE) signal generated during tool cutting process. First, according to the AE signals from different tool cutting periods, multiple chaos descriptions, such as reconstructing the strange attractor track and Poincare map, computing correlation dimension and the max Lyapunov exponent, are used to prove the existing of chaotic characteristics in the series. Then, use the least square method to fit a curve to the computed characteristics points, including the correlation dimension and the max Lyapunov exponent. Furthermore, the developing trend of these two parameters is discussed. The results show that chaotic phenomena exist in the acoustic emission signal, and the chaotic characteristics, like correlation dimension and the max Lyapunov exponent, will change with the development of tool wear process. Therefore relationship analysis between chaotic characteristics of AE series and the tool wear condition may provide a new path for online monitoring of tool cutting process.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123646956","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}
引用次数: 6
Complex neuro-fuzzy intelligent approach to function approximation 函数逼近的复杂神经模糊智能方法
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585191
Chunshien Li, Tai-Wei Chiang, Jhao-Wun Hu, Tsunghan Wu
{"title":"Complex neuro-fuzzy intelligent approach to function approximation","authors":"Chunshien Li, Tai-Wei Chiang, Jhao-Wun Hu, Tsunghan Wu","doi":"10.1109/IWACI.2010.5585191","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585191","url":null,"abstract":"A complex neuro-fuzzy self-learning approach using complex fuzzy sets to the problem of function approximation is proposed in this paper. The concept of complex fuzzy sets (CFSs) is an extension of traditional fuzzy set whose membership degrees are within a unit disk in the complex plane. The Particle Swarm Optimization (PSO) algorithm and the recursive least square estimator (RLSE) algorithm are used in hybrid way to train the proposed complex neuro-fuzzy system (CNFS). The PSO is used to adjust the premise parameters of the CNFS, and the RLSE is used to update the consequent parameters. With the experimental results, the CNFS shows better performance than the traditional neuro-fuzzy system (NFS) that is designed with regular fuzzy sets. Moreover, the PSO-RLSE hybrid learning method for the CNFS improves the rate of learning convergence and shows better performance in accuracy. In order to test the feasibility and approximation performance of the proposed approach, two benchmark functions are used for the proposed approach. The results by the proposed approach compared to other approaches. Excellent performance by the proposed approach has been observed.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125111105","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}
引用次数: 3
Designing electronic circuits using Cultural Algorithms 利用文化算法设计电子电路
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585126
Xuesong Yan, Kang Wang, Jian Jin, Qingzhong Liang, Chenyu Hu
{"title":"Designing electronic circuits using Cultural Algorithms","authors":"Xuesong Yan, Kang Wang, Jian Jin, Qingzhong Liang, Chenyu Hu","doi":"10.1109/IWACI.2010.5585126","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585126","url":null,"abstract":"This work investigates the application of cultural algorithms in the field of evolutionary electronics. Cultural Algorithms is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and has succeeded in solving some complicated problems. Based on the population space in which individual evolves, the belief space is constructed, in which effective implicit information during the evolution process are abstracted and utilized. We propose the new means for designing electronic circuits and introduce the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062591","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}
引用次数: 9
BPNN and RBFNN based modeling analysis and comparison for cement calcination process 基于BPNN和RBFNN的水泥煅烧过程建模分析与比较
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585214
Baosheng Yang, Hongmei Lu, Lili Chen
{"title":"BPNN and RBFNN based modeling analysis and comparison for cement calcination process","authors":"Baosheng Yang, Hongmei Lu, Lili Chen","doi":"10.1109/IWACI.2010.5585214","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585214","url":null,"abstract":"In order to improve the production stability of cement Precalciner Kiln calcination process, it is necessary to conduct in-depth analysis of the calcination process, knowledge of the process in running state and laws. To save energy and achieve stable production, we establish the simulation model of the calcination process used to find effective control methods. In view of the calcination process parameters of complex mathematical model is difficult, so we expressed directly using neural network method to establish the simulation model of the calcination process. Choosing reasonable state and control variables and collecting actual operation data to train neural network weights. Constructed two types of neural network BPNN and RBFNN based models, both achieved good fitting results. RBFNN based model can reach very high fitting results, but the BPNN based model has good generalization ability. So the BPNN based model can be used as simulation model of the calcination process for exploring new control algorithms.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127751595","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}
引用次数: 9
A fuzzy Active Queue Management mechanism for Internet congestion control 网络拥塞控制的模糊主动队列管理机制
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585186
M. Moghaddam
{"title":"A fuzzy Active Queue Management mechanism for Internet congestion control","authors":"M. Moghaddam","doi":"10.1109/IWACI.2010.5585186","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585186","url":null,"abstract":"Internet “Congestion” occurs when the aggregate demand for a resource (e.g. link bandwidth) exceeds the available capacity of the resource. Resulting effects from such congestion include long delays in data delivery, wasted resources due to lost or dropped packets, and even possible congestion collapse, in which all communication ceases in the entire network. “Congestion control” mechanism, implemented trough “queue management” algorithms, is the key factor to solve this problem keeping networks efficient and reliable from the user's viewpoint. In this paper by using a two input single output fuzzy logic controller we propose a high performance fuzzy adaptive Active Queue Management (AQM) mechanism based on Random Early Detection (RED) algorithm. Using the computer simulation, several trials were performed. All simulation results show that the proposed fuzzy AQM mechanism has better performance than traditional mechanisms.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114465546","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}
引用次数: 15
Optimization of PID controller parameters based on an improved artificial fish swarm algorithm 基于改进人工鱼群算法的PID控制器参数优化
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585187
Yi Luo, Wei Wei, Shuangxin Wang
{"title":"Optimization of PID controller parameters based on an improved artificial fish swarm algorithm","authors":"Yi Luo, Wei Wei, Shuangxin Wang","doi":"10.1109/IWACI.2010.5585187","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585187","url":null,"abstract":"The artificial fish swarm algorithm is a new kind of optimizing method based on the model of autonomous animals. After analyzing the disadvantages of AFSA, an improved artificial fish swarm algorithm is presented. According to the ergodicity and stochasticity of chaos, the basic AFSA is combined with chaos in order to initialize the fish school. The improvement of the swarming behavior increased the precision of the algorithm. In the behavior of preying, the strategy of dynamically adjusting the parameter of step is presented in order to improve the convergence rate of the algorithm. This improved AFSA is applied in the optimization of the of PID controller parameters. The simulation results show that this improved AFSA algorithm is effective and better than the basic AFSA algorithm.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129487740","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}
引用次数: 15
A novel particle filter for tracking fast target 一种用于快速目标跟踪的新型粒子滤波器
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585219
Qicong Wang, Wenxiao Jiang, Chenhui Yang, Yunqi Lei
{"title":"A novel particle filter for tracking fast target","authors":"Qicong Wang, Wenxiao Jiang, Chenhui Yang, Yunqi Lei","doi":"10.1109/IWACI.2010.5585219","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585219","url":null,"abstract":"This paper proposes a fast target tracking method in which particle filter is improved using Gaussian kernel and evolutionary strategy. We use Gaussian kernel function to replace the Dirac kernel function, which can decrease the degeneracy problem of the traditional particle filter partly. To further improve the performance of particle filter, we introduce evolutionary strategy into the process of Gaussian kernel particle filtering. It uses only mutation operation, which has less computation than genetic algorithm. And it can prevent the impoverishment problem and steer the particles towards local mode of posterior probability effectively. The proposed method can track fast target robustly using fewer particles than the standard particle filter and Gaussian kernel particle filter.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129919198","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}
引用次数: 7
A study of solar energy collector system based on fuzzy logic control for seawater desalination 基于模糊逻辑控制的海水淡化太阳能集热器系统研究
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585227
Juyuan Jiang, Hao Zhou
{"title":"A study of solar energy collector system based on fuzzy logic control for seawater desalination","authors":"Juyuan Jiang, Hao Zhou","doi":"10.1109/IWACI.2010.5585227","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585227","url":null,"abstract":"This paper proposes a kind of fuzzy logic control scheme according to the time-varying, lagging and nonlinear characteristics of temperature control and the proplem of more complicated control system. It includes the selection of control variables, the definitions of fuzzy sets, the division of domain levels, the choice of membership functions and setting the fuzzy logic control rules. MATLAB was used for the simulation analyse of the system and the results validated that the the fuzzy logic control to the system is effective and reasonable.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082938","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}
引用次数: 0
Common fixed point for weakly compatible mappings in fuzzy metric spaces 模糊度量空间中弱相容映射的公共不动点
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585225
Xin-qi Hu
{"title":"Common fixed point for weakly compatible mappings in fuzzy metric spaces","authors":"Xin-qi Hu","doi":"10.1109/IWACI.2010.5585225","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585225","url":null,"abstract":"In this paper we discuss weakly compatible mappings in fuzzy metric spaces, and give some common fixed point theorems for weakly compatible mappings in fuzzy metric spaces. Our main results improve and extend the corresponding result.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"32 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835963","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}
引用次数: 0
A new approach of the division optimization of attribute spaces for the decision tree construction 一种构造决策树的属性空间划分优化方法
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585144
Dexian Zhang, Weidong Yang, Junwei Yu, Feng Wang
{"title":"A new approach of the division optimization of attribute spaces for the decision tree construction","authors":"Dexian Zhang, Weidong Yang, Junwei Yu, Feng Wang","doi":"10.1109/IWACI.2010.5585144","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585144","url":null,"abstract":"The reasonable division of attribute spaces is a core problem in the decision tree construction and the rule extraction, which directly influences the effectiveness of the construction of decision trees. In this paper, a new two-dimension analysis method for the attribute space division is proposed, which not only reduces the analysis complexity, but also improves the efficiency of attribute division. And a new model for optimizing the division of attribute spaces is proposed. The new model can effectively measure the reasonability of the boundary of attribute spaces and satisfy the condition with maximum and uniformity of the boundary distance of the separation of attribute spaces. Furthermore, this paper gives the concept of non-discriminate regions, and presents the method for distinguishing the non-discriminate regions and the region collision and the approach of the separation of attribute spaces. The typical computing examples prove the validity of our approach in attribute division and decision tree construction.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948095","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}
引用次数: 0
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信