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Proceedings. International Conference on Machine Learning and Cybernetics最新文献

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Hybrid knowledge representation in compositional modeling 组合建模中的混合知识表示
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176774
Dong-Feng Wang, Sheng Wang, Ying-Wu Chen
{"title":"Hybrid knowledge representation in compositional modeling","authors":"Dong-Feng Wang, Sheng Wang, Ying-Wu Chen","doi":"10.1109/ICMLC.2002.1176774","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176774","url":null,"abstract":"Compositional modeling can be used to model dynamic hybrid systems the behavior of which is piecewise continuous. The model is defined by a collection. of continuous scenario models and a switching mechanism to transition from one model to another. The scenario model itself is a collection of modeling knowledge which includes parameters and relations among them, constraints, control information, etc. This paper introduces our research on knowledge representation in compositional modeling. The constituents of the scenario model are described. Semi-quantitative knowledge, such as interval value and fuzzy set formalism, is integrated to ease a flexible modeling environment.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"12 1","pages":"360-363 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78459306","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
Image representation with level difference set and its application 层次差分集的图像表示及其应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176702
B. Cheng, Nanning Zheng, Yuanliang Zhang, Jianru Xue
{"title":"Image representation with level difference set and its application","authors":"B. Cheng, Nanning Zheng, Yuanliang Zhang, Jianru Xue","doi":"10.1109/ICMLC.2002.1176702","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176702","url":null,"abstract":"We propose an image representation, which has the property of level of details. By decomposing the image into level sets and subtracting between two level sets, a level difference set is defined. The connected components of each level difference set are measured using their area. Then the connected components are stored in a data structure in order of size, largest first. The level difference sets-based representation is applied in image-based rendering when time is critical. The data of the image is loaded from the head of the data structure and used to calculate or render. Thus the outlines of the image are displayed first, and details are added as time passes. Some experimental results are demonstrated here to show the efficiency of the method.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"22 1","pages":"28-31 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75066664","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
The improvement of a fuzzy neural network based on backpropagation 基于反向传播的模糊神经网络的改进
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175437
Qiang Hua, M. Ha
{"title":"The improvement of a fuzzy neural network based on backpropagation","authors":"Qiang Hua, M. Ha","doi":"10.1109/ICMLC.2002.1175437","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175437","url":null,"abstract":"Some discussions on the fuzzy neural network architecture and algorithm have been put forward, whose weights are given as special fuzzy numbers, such as triangular fuzzy numbers. In this paper, we introduce the conception of strong L-R type fuzzy number, and derive a learning algorithm based on BP algorithm via level sets of strong L-R type fuzzy numbers. The special fuzzy number is weakened to the common case. Then the range of application is enlarged. Finally, the initial experiment in fuzzy classification is shown.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"23 1","pages":"2237-2239 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75161900","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
A multiuser detection method based on support vector machine 基于支持向量机的多用户检测方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176777
Tao Yang, Jianying Xie
{"title":"A multiuser detection method based on support vector machine","authors":"Tao Yang, Jianying Xie","doi":"10.1109/ICMLC.2002.1176777","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176777","url":null,"abstract":"In this paper, a multi-user detector based on a Support Vector Machine (SVM) is proposed, which divides the receiving vector into two classes, +1 and -1, to attain detection. Differing from the MMSE detector, the SVM method can find an optimal hyperplane to separate the +1 and -1 from the training data. Simulation results show that under the Rayleigh channel, this detector can achieve a relatively low BER in comparison with the minimum mean square error (MMSE) detector.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"27 1","pages":"373-375 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75422473","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: 1
Anthropomorphic intelligent PID control and its application in the hydro turbine governor 拟人智能PID控制及其在水轮机调速器中的应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176782
Yuan-Chu Cheng, L. Ye, F. Chuang, W. Cai
{"title":"Anthropomorphic intelligent PID control and its application in the hydro turbine governor","authors":"Yuan-Chu Cheng, L. Ye, F. Chuang, W. Cai","doi":"10.1109/ICMLC.2002.1176782","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176782","url":null,"abstract":"Applying the principle of anthropomorphic intelligence, a novel intelligent PID controller for time-varying and quick response systems is proposed and its structure and control rules are discussed in detail. Compared with the conventional controller, the intelligent PID controller has good robustness and adaptability. Because its parameter tuning and control strategy switching are based on control deviation, it can be implemented easily. Simulation studies and field tests indicate that the anthropomorphic intelligent PID control can improve the dynamic performance and stability of hydro-turbine governing systems.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"50 1","pages":"391-395 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78334481","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: 16
Web categorization using hybrid algorithms 使用混合算法的Web分类
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174529
Wei-guo Ye, Zheng-ding Lu
{"title":"Web categorization using hybrid algorithms","authors":"Wei-guo Ye, Zheng-ding Lu","doi":"10.1109/ICMLC.2002.1174529","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174529","url":null,"abstract":"Obtaining information from the Web is becoming a very much important issue nowadays. The traditional text categorization algorithm is not sufficient for web categorization. In this paper we discuss the process in Web categorization, and proposed a new information gain measure for feature selections and term weighting. We also discussed three linear classifiers. Then we propose a novel hyperlink based classifier. It uses the characteristics of the Web graph. Experimental comparisons of these algorithms show that our approach is more appropriate than traditional information retrieval methods in Web categorization.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"16 1","pages":"978-981 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78439991","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
An improved adaptive neural network and its application on random shape 一种改进的自适应神经网络及其在随机形状上的应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176716
Can-Lin Mo, J. Tan
{"title":"An improved adaptive neural network and its application on random shape","authors":"Can-Lin Mo, J. Tan","doi":"10.1109/ICMLC.2002.1176716","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176716","url":null,"abstract":"The random shape generation method is put forward based on adaptive neural networks. The adaptive neural network is trained from an arbitrary regular geometric shape during the random deformation process. Thus, the regular shape can be changed to an irregular one with the adaptive learning method, and the global and local controllability can both be enhanced. With an improvement on the traditional adaptive neural network algorithm, certainty and randomness can be fully combined, so that fuzzy controllability and adjustability can be dominated easily and concisely.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"13 1","pages":"91-94 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78477513","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
Study of data mining based machinery fault diagnosis 基于数据挖掘的机械故障诊断研究
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176814
Dong Jiang, Shih-Tao Huang, Wenqing Lei, Jin-Yan Shi
{"title":"Study of data mining based machinery fault diagnosis","authors":"Dong Jiang, Shih-Tao Huang, Wenqing Lei, Jin-Yan Shi","doi":"10.1109/ICMLC.2002.1176814","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176814","url":null,"abstract":"In accordance with the reality of the installation of an online monitoring system to significant equipment and many large-scale databases or data warehouses that have come into being, a new artificial intelligence research approach known as data mining is introduced into the fault diagnosis field in this paper. Based on the Bayesian statistical learning theory and a large number of sample data, which represent the historic running record of the machine, different probability density functions of frequent classes of machine faults are established to determine the current running state. Moreover, the mining results are valuable for domain experts to discover the running regularity of machines, predict the running trend and provide decision supports for senior managers. Experiments indicate that the method is feasible in the fault diagnosis field and effective in distinguishing some frequent rotary machine faults.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"536-539 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75551551","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: 5
Induction of ordinal decision trees 序数决策树的归纳
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175434
J.W.T. Lee, Da-Zhong Liu
{"title":"Induction of ordinal decision trees","authors":"J.W.T. Lee, Da-Zhong Liu","doi":"10.1109/ICMLC.2002.1175434","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175434","url":null,"abstract":"In many disciplines, such as social and behavioral sciences, we often have to do ordinal classification by assigning objects to ordinal classes. The fundamental objective of ordinal classification is to create an ordering in the universe of discourse. As such, a decision tree for ordinal classification should aim at producing an ordering which is most consistent with the implicit ordering in the input data. Ordinal classification problems are often dealt with by treating ordinal classes as nominal classes, or by representing the classes as values on a quantitative scale. Such approaches may not lead to the most desirable results since the methods do not fit the type of data, viz. ordinal data, concerned. In this paper, we propose a new measure for assessing the quality of output from an ordinal classification approach. We also propose an induction method to generate an ordinal decision tree for ordinal classification based on this quality perspective. We demonstrate the advantage of our method using results from a set of experiments.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"30 1","pages":"2220-2224 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75572547","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: 5
Improved self-adaptive Smith predictive control scheme for time-delay system 时滞系统的改进自适应Smith预测控制方案
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176797
D. Feng, Feng Pan, Ru-cheng Han
{"title":"Improved self-adaptive Smith predictive control scheme for time-delay system","authors":"D. Feng, Feng Pan, Ru-cheng Han","doi":"10.1109/ICMLC.2002.1176797","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176797","url":null,"abstract":"This paper presents an improved self-adaptive Smith predictive control scheme for time-delay systems. An FNNC (Fuzzy Neural Network Controller) is used to control the plant instead of the conventional PID controller, an improved identification algorithm with an adaptive vector forgetting factor is used to identify time-varying parameters, and the Smith predictor is realised. Simulation results show that this method can suppress the effects of parameter variations.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"9 1","pages":"463-466 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76205026","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
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