发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
A directly regressive predictive and adaptive control of time-varying delay system based on time delay identification 基于时滞辨识的时变系统直接回归预测自适应控制
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175417
Wei Gao, Zhang Tao, Yuan-chun Li
{"title":"A directly regressive predictive and adaptive control of time-varying delay system based on time delay identification","authors":"Wei Gao, Zhang Tao, Yuan-chun Li","doi":"10.1109/ICMLC.2002.1175417","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175417","url":null,"abstract":"Large time-varying delay systems with time-varying parameters are common in industrial processes, and this is a difficult point in the control domain. In the paper, an adaptive control algorithm based on a variable delay parameter identification method is proposed, which obtains the control rule by directly regressive prediction of the system. The method avoids solving the Diophantine equation and is easy to compute. Simulation results show that the approach is effective.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"10 1","pages":"2142-2145 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89895935","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
Fuzzy pre-extracting method for support vector machine 支持向量机模糊预提取方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175393
C. Zheng, L. Jiao
{"title":"Fuzzy pre-extracting method for support vector machine","authors":"C. Zheng, L. Jiao","doi":"10.1109/ICMLC.2002.1175393","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175393","url":null,"abstract":"The support vector machine (SVM) learning algorithm is a method for small samples learning, but the selected support vectors (SVs) must be obtained by an optimal algorithm. To counter the low speed of the SVM learning, a new fast method combining SVM and a fuzzy method is proposed. The SVs are pre-extracted by an iterative algorithm and a fuzzy method is used instead of solving the complex quadratic program problem. The method greatly reduces the training samples and improves the speed of SVM learning, while the ability of the SVM is not degraded. Better results are obtained over other SVM methods, which makes this new fuzzy pre-extracting SVM method useful in practice.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"68 1 1","pages":"2026-2030 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89900454","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: 14
Artificial neural network in estimation of battery state of-charge (SOC) with nonconventional input variables selected by correlation analysis 通过相关分析选择非常规输入变量，利用人工神经网络进行电池荷电状态估计
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167485
Chenghui Cai, Dong-Du, Zhiyu Liu, Hua Zhang
{"title":"Artificial neural network in estimation of battery state of-charge (SOC) with nonconventional input variables selected by correlation analysis","authors":"Chenghui Cai, Dong-Du, Zhiyu Liu, Hua Zhang","doi":"10.1109/ICMLC.2002.1167485","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167485","url":null,"abstract":"The selection of input variables is important to improve the prediction accuracy of artificial neural networks (ANNs). A three-layer feedforward backpropagation ANN is presented to estimate and predict the battery state-of-charge with nonconventional input variables selected. Initially, a few candidate input variables are derived from three basic input variables: discharging current, discharging time and battery terminal voltage. Then, three techniques of correlation analysis - the linear correlation analysis, nonparametric correlation analysis and partial correlation analysis - are used to select the input variables, and the results obtained are compared. With several nonconventional input variables included in the input sets, high prediction accuracy of the ANN model is obtained.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"1619-1625 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89989708","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: 35
A kind of ant colony algorithm for function optimization 一种用于函数优化的蚁群算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176818
Wei-qing Xiong, Ping Wei
{"title":"A kind of ant colony algorithm for function optimization","authors":"Wei-qing Xiong, Ping Wei","doi":"10.1109/ICMLC.2002.1176818","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176818","url":null,"abstract":"The paper introduced a coding and selectional operation based on the genetic algorithm through recognizing the standard ant colony algorithm, and improve the pheromone for general function optimization. The algorithm was proved to be efficient by several function solutions.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"27 1","pages":"552-555 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86700108","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: 8
Artificial immune theory based network intrusion detection system and the algorithms design 基于人工免疫理论的网络入侵检测系统及其算法设计
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176712
Xiang-Rong Yang, Jun-Yi Shen, Rui Wang
{"title":"Artificial immune theory based network intrusion detection system and the algorithms design","authors":"Xiang-Rong Yang, Jun-Yi Shen, Rui Wang","doi":"10.1109/ICMLC.2002.1176712","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176712","url":null,"abstract":"A network intrusion detection model based on artificial immune theory is proposed in this paper. In this model, self patterns and non-self patterns are built upon frequent behaviors sequences, then a simple but efficient algorithm for encoding patterns is proposed. Based on the result of encoding, another algorithm for creating detectors is presented, which integrates a negative selection with the clonal selection. The algorithm performance is analyzed, which shows that this method can shrink each generation scale greatly and create a good niche for patterns evolving.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"26 1","pages":"73-77 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85821847","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: 24
An adaptive neuro-fuzzy approach for system modeling 一种自适应神经模糊系统建模方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175364
Chen-Sen Ouyang, Wan-Jui Lee, Shie-Jue Lee
{"title":"An adaptive neuro-fuzzy approach for system modeling","authors":"Chen-Sen Ouyang, Wan-Jui Lee, Shie-Jue Lee","doi":"10.1109/ICMLC.2002.1175364","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175364","url":null,"abstract":"In this paper, a novel adaptive neuro-fuzzy modeling system is proposed for solving system modeling problems. Two phases are included in our approach.. In the first phase, a merge-based fuzzy self-clustering algorithm is used to automatically partition the sample data set into fuzzy clusters. Initial clusters are generated rapidly and similar clusters are merged together gradually based on similarity and distortion measures. TSK-type fuzzy rules associated with generated clusters are extracted. Then, the obtained rules are refined by a fuzzy neural network in the second phase. To speed up the convergence of learning, we develop a hybrid learning algorithm which combines a recursive SVD-based least squares estimator and the gradient descent method. Experimental results have shown that our method is more efficient than other methods.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"1875-1880 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79043988","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
Principle and design of fuzzy controller based on fuzzy learning from examples 基于实例模糊学习的模糊控制器原理与设计
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167445
Yan Li, M. Ha, Xizhao Wang
{"title":"Principle and design of fuzzy controller based on fuzzy learning from examples","authors":"Yan Li, M. Ha, Xizhao Wang","doi":"10.1109/ICMLC.2002.1167445","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167445","url":null,"abstract":"Designs of most present fuzzy controllers depend on personal experiences. However, at some control circumstances, there are not enough or no expert experiences. Thus, most controllers cannot effectively implement the control process because of this dependence. To address the problem, a new kind of fuzzy controller based on fuzzy learning from examples is proposed in this paper. Furthermore, the principle, algorithm, designing method and feasibility analysis of the new fuzzy controller are given. The fuzzy controller features intelligent behaviors. The results of experiments show that the new controllers is effective and efficient when there is short of personal experiences.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"1441-1446 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76472681","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
The continuity of Mamdani method Mamdani方法的连续性
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167500
Min Liu, De-gang Chen, Cheng Wu
{"title":"The continuity of Mamdani method","authors":"Min Liu, De-gang Chen, Cheng Wu","doi":"10.1109/ICMLC.2002.1167500","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167500","url":null,"abstract":"In this paper the continuity of fuzzy reasoning method is proposed and the usually used Mamdani method of fuzzy reasoning method is proved to be continuous with respect to some distances of fuzzy sets.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"89 1","pages":"1680-1682 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77038064","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: 17
An Artificial Life and Genetic Algorithm based on optimization approach with new selecting methods 基于优化方法的人工生命与遗传算法，提出了新的选择方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174434
Chen Yang, Hao Ye, Jing-Chun Wang, Ling Wang
{"title":"An Artificial Life and Genetic Algorithm based on optimization approach with new selecting methods","authors":"Chen Yang, Hao Ye, Jing-Chun Wang, Ling Wang","doi":"10.1109/ICMLC.2002.1174434","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174434","url":null,"abstract":"A hybrid Artificial Life (ALife) system for function optimization that combines ALife colonization with a Genetic Algorithm (GA) includes two stages: in the first stage, the emergent colonization of the ALife system is used to provide an initial population for the GA; the GA is further used to find the optimal solution in the second stage. However, the optimization result is largely affected by the method of how to select the initial population for the GA of the second stage from the ALife colony of the first stage. In this paper, different selection methods are compared and the most effective method proposed, followed by simulation results.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"684-688 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81015643","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
Application of SOM neural network in fault diagnosis of the steam turbine regenerative system SOM神经网络在汽轮机回热系统故障诊断中的应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176735
Jun-Fen Wu, Niansu Hu, Sheng Hu, Yu Zhao
{"title":"Application of SOM neural network in fault diagnosis of the steam turbine regenerative system","authors":"Jun-Fen Wu, Niansu Hu, Sheng Hu, Yu Zhao","doi":"10.1109/ICMLC.2002.1176735","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176735","url":null,"abstract":"The steam turbine regenerative system is one of the most important and complicated thermodynamic systems. The SOM (self-organizing map) neural network is applied to fault diagnosis of the system, which is implemented by the neural network toolbox in MATLAB. The method for fault diagnosis of the regenerative system is effective and it has been verified by simulation results.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"22 1","pages":"184-187 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83500131","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
首页 上一页 下一页 尾页
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