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

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A dynamic multicast grouping approach in distributed interactive simulation 分布式交互仿真中的动态组播分组方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176815
Zhong-Jian Dai, Chao-zhen Hou, Li-Min Su
{"title":"A dynamic multicast grouping approach in distributed interactive simulation","authors":"Zhong-Jian Dai, Chao-zhen Hou, Li-Min Su","doi":"10.1109/ICMLC.2002.1176815","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176815","url":null,"abstract":"In distributed interactive simulation based on the high level architecture, the aim of data distributed management (DDM) service can efficiently reduce the network traffic and save system's resources. The approach for multicast grouping is the key of DDM. The two most common approaches for multicast group allocation are the region-based and fixed grid-based types. In this paper we proposed a new approach based on them. Results of the simulation experiment show that this approach can significantly reduce the message overhead and use fewer multicast groups.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"8 1","pages":"540-543 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78811060","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
Social cognitive optimization for nonlinear programming problems 非线性规划问题的社会认知优化
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174487
Xiao-Feng Xie, Wenjun Zhang, Zhilian Yang
{"title":"Social cognitive optimization for nonlinear programming problems","authors":"Xiao-Feng Xie, Wenjun Zhang, Zhilian Yang","doi":"10.1109/ICMLC.2002.1174487","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174487","url":null,"abstract":"Social cognitive optimization (SCO) for solving nonlinear programming problems (NLP) is presented based on human intelligence with the social cognitive theory (SCT). Experiments comparing SCO with genetic algorithms on some benchmark functions show that the former can produce high-quality solutions efficiently, even with only one learning agent.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"183 9","pages":"779-783 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICMLC.2002.1174487","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72425710","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: 51
Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition 远距双元图模型、配置及其在汉字识别后处理中的应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175440
Ruifeng Xu, Q. Lu, D. Yeung, Xi-Zao Wang
{"title":"Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition","authors":"Ruifeng Xu, Q. Lu, D. Yeung, Xi-Zao Wang","doi":"10.1109/ICMLC.2002.1175440","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175440","url":null,"abstract":"In this paper, we present a distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The distant BI-Gram model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese characters. The experimental results show that by employing these two language models, the post-processing system achieves a higher improvement performance.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"36 1","pages":"2251-2255 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77257104","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
Dynamic properties of Elman and modified Elman neural network Elman和改进的Elman神经网络的动态特性
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174413
Yuan-Chu Cheng, Weimin Qi, W. Cai
{"title":"Dynamic properties of Elman and modified Elman neural network","authors":"Yuan-Chu Cheng, Weimin Qi, W. Cai","doi":"10.1109/ICMLC.2002.1174413","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174413","url":null,"abstract":"The Elman network is a well-known recurrent neural network. In this paper, an overview of the structure of the Elman neural network and its modified form are presented. Both have trainable feed-forward connections. Then, by comparing with the discrete PID control algorithm, their dynamic characteristics are fully discussed using the z transform function. Finally, we conclude that the modified Elman network has better dynamic properties.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"56 4 1","pages":"637-640 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77880874","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: 80
Monitoring faults self-consciously in the real time dual working system based on high performance network 基于高性能网络的实时双工系统故障自觉监测
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174402
Tao Wu, D. Feng, Jiangling Zhang
{"title":"Monitoring faults self-consciously in the real time dual working system based on high performance network","authors":"Tao Wu, D. Feng, Jiangling Zhang","doi":"10.1109/ICMLC.2002.1174402","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174402","url":null,"abstract":"The time that system takes to find out exceptions cannot be too long in a real-time system. In this paper, we first construct a stochastic Petri net to analyze the relationship between the time the system takes to diagnose faults and the system's availability. We conclude that the shorter the time it takes the higher the availability it can achieve. Next, we explain how the self-detecting fault can be realized. Finally, several experiments have been designed to prove its effectiveness.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"582-585 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78114530","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
Discrimination between printed and handwritten characters for cheque OCR system 支票OCR系统中印刷和手写字符的区别
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174543
Weiran Xu, Honggang Zhang, Jun Guo, Guang Chen
{"title":"Discrimination between printed and handwritten characters for cheque OCR system","authors":"Weiran Xu, Honggang Zhang, Jun Guo, Guang Chen","doi":"10.1109/ICMLC.2002.1174543","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174543","url":null,"abstract":"The identification of printed and handwritten characters is a fundamental and important issue for the cheque OCR system to achieve high-accuracy. In this paper, a novel method is presented to identify the written type based on only 4 or 5 characters in a severely corrupted bank cheque image. We first extract 4 kinds of features, totaling 17 features. Then the most suitable features are selected using the method based on separability measure. Finally, the selected features are used by a naive Bayesian classifier to realize the discrimination. Using 12,158 real checks to test our method, the accuracy is 99.2%.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"1048-1053 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78111542","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
The model of optimizing the function of reservoir operation based on genetic programming 基于遗传规划的水库运行函数优化模型
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167497
Xiaomin Zhou, Xian-Jia Wang, Zhongyun Zhu
{"title":"The model of optimizing the function of reservoir operation based on genetic programming","authors":"Xiaomin Zhou, Xian-Jia Wang, Zhongyun Zhu","doi":"10.1109/ICMLC.2002.1167497","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167497","url":null,"abstract":"The function of reservoir operation is generally obtained by using the statistic analysis tools. This paper introduces genetic programming based on the statistic analysis tools, the genetic programming way changes the randomness due to utilizing the statistic analysis tools to search the best function of reservoir operation, then a case study illustrates that the method is effective and available in optimizing the function of reservoir operation.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"7 1","pages":"1669-1672 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80515094","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: 2
Research on parametric feature modeling based on knowledge 基于知识的参数化特征建模研究
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175346
Yanfang Yang, Dingfang Chen
{"title":"Research on parametric feature modeling based on knowledge","authors":"Yanfang Yang, Dingfang Chen","doi":"10.1109/ICMLC.2002.1175346","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175346","url":null,"abstract":"A method of parametric feature modeling based on knowledge is discussed in the paper, and the system structure and realization of the parametric feature modeling system based on knowledge is presented. By setting up a product repository, this method can not only efficiently accomplish dimension-driven and feature-driven in the parametric feature modeling but also display 3D-model of the product in time and put forward real-time adjusting plan according to product model. As a result the product design becomes easier and more efficient. Combining the design process of shaft parts, the CAD system of shaft parts is developed.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"111 1","pages":"1784-1788 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79288443","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
Induction of bi-branches decision tree with fuzzy number-value attribute 具有模糊数值属性的双分支决策树的归纳
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167495
D. Huang, Xizhao Wang, M. Ha
{"title":"Induction of bi-branches decision tree with fuzzy number-value attribute","authors":"D. Huang, Xizhao Wang, M. Ha","doi":"10.1109/ICMLC.2002.1167495","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167495","url":null,"abstract":"This paper presents an algorithm regarding the fuzzy number-valued attribute using the information entropy minimization heuristic. The algorithm gives us a desirable behavior of the information entropy of partitioning. The efficiency of the learning algorithm is improved by analyzing the non-stable cut point and the experiment result shows that the number of leaves in decision tree generation is reduced with the raising of level /spl alpha/. Thus, the scale of decision tree and the recognition rate of classification using the proposed algorithm are improved with the raising of level /spl alpha/. To the unknown-classified sample data, the algorithm offers a rapid matching speed. Finally, the example on medical records that we collected in a hospital shows the utility of the proposed algorithm.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"107 1","pages":"1662-1666 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79340880","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: 4
Several symmetry properties of discrete Hopfield neural networks 离散Hopfield神经网络的几个对称性
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167431
Jiyang Dong, Jun-ying Zhang
{"title":"Several symmetry properties of discrete Hopfield neural networks","authors":"Jiyang Dong, Jun-ying Zhang","doi":"10.1109/ICMLC.2002.1167431","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167431","url":null,"abstract":"Symmetry is powerful tool to reduce the freedom of a problem. Discrete Hopfield neural networks with Hebbian learning are studied by the method of group theory in this paper, and several symmetry properties of the network being an auto-associator are given and proved.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"92 1","pages":"1374-1378 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79379948","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: 2
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