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

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A study on gray neural network modeling 灰色神经网络建模研究
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175391
L. Zhong, Jingling Yuan, Hongxia Xia, Chengming Zou
{"title":"A study on gray neural network modeling","authors":"L. Zhong, Jingling Yuan, Hongxia Xia, Chengming Zou","doi":"10.1109/ICMLC.2002.1175391","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175391","url":null,"abstract":"In order to resolve complex gray uncertainly problems, the gray neural network modeling (GNNM) method by combining gray system theory with neural network is studied and improved in the paper. Also, a method of GNNM (1, 1) based on the time response model is proposed. With an eye to the multidimensional indefinite problems in which all kinds of genetic relationships and mechanisms exist, GNNM (1, 4) is established on the basis of GNNM (1, 1).","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"55 1","pages":"2021-2023 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84835802","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: 13
The study of epistasis based on the random walk model in fitness landscapes of schemata 基于随机游走模型的模式适应度景观上位性研究
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167435
Jian-Wu Li, Min-Qiang Li
{"title":"The study of epistasis based on the random walk model in fitness landscapes of schemata","authors":"Jian-Wu Li, Min-Qiang Li","doi":"10.1109/ICMLC.2002.1167435","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167435","url":null,"abstract":"Interdependence between genes is an important factor causing hardness in genetic algorithms (GA). Traditional methods, which are used to measure the interaction between genes, can only reflect the extent of epistasis between all genes in the chromosome. In this paper, we propose the definition of the fitness landscape of schemata, and perform random walks on this landscape to study the degree of interdependence between some certain gene loci in study. According to the degree of interaction between these given gene loci, we can analyze and determine building blocks of GA. We also do a lot of experiments based on NK-models, and results of empirical analysis show that this method is effective.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"107 1","pages":"1396-1400 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77595437","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
Matrix criterion for dynamic analysis in discrete neural networks with multiple delays 多时滞离散神经网络动态分析的矩阵准则
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175439
Eric C. C. Tsang, S. Qiu, D. Yeung
{"title":"Matrix criterion for dynamic analysis in discrete neural networks with multiple delays","authors":"Eric C. C. Tsang, S. Qiu, D. Yeung","doi":"10.1109/ICMLC.2002.1175439","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175439","url":null,"abstract":"The dynamics of a discrete Hopfield neural network with multiple delays (HNNMDs) is studied by using a matrix inequality which is shown to be equivalent to the state transition equation of the HNNMDs network. Earlier work (2000) on discrete Hopfield neural networks showed that a parallel or serial mode of operation always leads to a limit cycle of period one or two for a skew or symmetric matrix, but they did not give an arbitrary weight matrix on how an updating operation might be needed to reach such a cycle. In this paper we present the existence conditions of limit cycles using matrix criteria in the HNNMDs network. For a network with an arbitrary weight matrix, the necessary and sufficient conditions for the existence of a limit cycle of period 1 and r are provided. The conditions for the existence of a special limit cycle of period 1 and 2 are also found. These results provide the foundation for many applications. A HNNMDs is said to have no stable state (fixed point) if it has a limit cycle of period 2 or more, which is stated in Theorem 5. A computer simulation demonstrates that the theoretical analysis in Theorem 5 is correct.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"44 1","pages":"2245-2250 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86906667","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
Correlation based generating rules for fuzzy classification 基于关联的模糊分类生成规则
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175333
Da-Zhong Liu, Xizhao Wang, J.W.T. Lee
{"title":"Correlation based generating rules for fuzzy classification","authors":"Da-Zhong Liu, Xizhao Wang, J.W.T. Lee","doi":"10.1109/ICMLC.2002.1175333","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175333","url":null,"abstract":"Automated acquisition of rules is a very important issue in knowledge engineering. In this paper, a new method for generating fuzzy rules from numerical data for fuzzy classification problems based on the correlation analysis between two fuzzy sets has been proposed. Experimental results and comparison with Yuan and Shaw's method are presented as well.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"5 1","pages":"1733-1736 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87752930","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
Feature selection in recognition of handwritten Chinese characters 手写体汉字识别中的特征选择
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167382
Li-xin Zhang, Yannan Zhao, Zehong Yang, Jiaxin Wang
{"title":"Feature selection in recognition of handwritten Chinese characters","authors":"Li-xin Zhang, Yannan Zhao, Zehong Yang, Jiaxin Wang","doi":"10.1109/ICMLC.2002.1167382","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167382","url":null,"abstract":"Recognition of handwritten Chinese characters is a large-scale pattern recognition task, which is difficult and time consuming to build the corresponding classifiers. In this paper, two feature selection methods are proposed to reduce the complexity and speed up the handwritten Chinese recognition: one is the ReliefF-Wrapper method which evaluates the original features with the ReliefF method, and then uses the wrapper method to decide the number of features to be selected; and the other is GA-Wrapper that uses genetic algorithm to search the optimal subset of features with high training accuracy. Experiments were performed on 800 most frequently used Chinese characters, with 80,000 handwritten samples. Results show that the ReliefF-Wrapper method has good interpretation and high speed and GA-Wrapper gains higher accuracy. Limitations of the both methods and future work are also discussed.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"20 1","pages":"1158-1162 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90362531","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
Identical matrix design of the optimal decoupling control system with kernel methods 核方法最优解耦控制系统的同矩阵设计
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167408
Yong Quan, Jie Yang
{"title":"Identical matrix design of the optimal decoupling control system with kernel methods","authors":"Yong Quan, Jie Yang","doi":"10.1109/ICMLC.2002.1167408","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167408","url":null,"abstract":"Under the analysis of classical decoupling methods, a new kind of decoupling method is proposed based on kernel methods. We consider the application of support vector regression and kernel ridge regression in multivariable decoupling design. Simulation results are presented to show the multivariable control system adopting the kernel method compensator can decouple the coupling effects among those parameters. A comparison of support vector regression and kernel ridge regression in decoupling performance is also discussed. The method is relatively simple and is easy to implement All these characteristics make the decoupled control system easy to use in a practical environment.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"46 1","pages":"1272-1278 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81411923","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
Applying data mining to detect fraud behavior in customs declaration 应用数据挖掘技术检测报关单欺诈行为
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167400
Hua Shao, Hong Zhao, Gui-ran Chang
{"title":"Applying data mining to detect fraud behavior in customs declaration","authors":"Hua Shao, Hong Zhao, Gui-ran Chang","doi":"10.1109/ICMLC.2002.1167400","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167400","url":null,"abstract":"This paper introduces a data mining approach to detect fraud behaviors in customs declaration data. Some of the data mining technologies used in this project, such as an easy-to-expand multidimensional criterion data model and a hybrid fraud-detection strategy, are considered. Due to the characteristics of the data distribution in fraud detection applications, it is more difficult to predict the fraud behaviors. However, the easy-to-expand data model with multidimensional-criterion introduced in this paper improves both the accuracy of the model and performance of the algorithm. Since this model has a strong ability of popularization, it can be used as a reference to other similar complex applications.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"10 1","pages":"1241-1244 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81532003","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: 45
Reinforcement learning based on human-computer interaction 基于人机交互的强化学习
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174410
Fang Liu, Jianbo Su
{"title":"Reinforcement learning based on human-computer interaction","authors":"Fang Liu, Jianbo Su","doi":"10.1109/ICMLC.2002.1174410","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174410","url":null,"abstract":"A novel interactive learning structure integrated with a reinforcement learning algorithm and human-computer interaction (HCI) is proposed. This interactive learning system can benefit from measurements of the distance between the current state and goal state via an operator's professional knowledge. Thus, the learning procedure is expected to be more efficient. A guess-number task is explored to evaluate the proposed learning system. Experimental results show that the learning efficiency and convergence rate are both increased compared with the normal reinforcement learning method.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"45 1","pages":"623-627 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85936964","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
Intelligent determination of cutting conditions in CAPP based on ANN 基于神经网络的CAPP中切削条件的智能确定
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167463
Xue-Liang Zhang, S. Wen
{"title":"Intelligent determination of cutting conditions in CAPP based on ANN","authors":"Xue-Liang Zhang, S. Wen","doi":"10.1109/ICMLC.2002.1167463","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167463","url":null,"abstract":"Computer aided process programming (CAPP) is one of the major technologies of CIMS, and it is a key technology in realizing CAD/CAM. Cutting conditions are part of the contents in one processing card of a machinery element designed by CAPP. The intelligent determination of cutting conditions has to be solved in CAPP. After having introduced the factors of boring conditions and their coding descriptions as well as the basic theory of weight smoothing BP algorithm (SMBP) with. the annealing smoothing factor, the artificial neural network (ANN) modeling method based on the axial SMBP algorithm is presented in this paper. The modeling example about boring conditions verifies its effectiveness. The ANN model described can realize the intelligent determination of cutting conditions.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"33 1","pages":"1520-1522 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88156309","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
Wavelet transform and fractal predict for image compression 小波变换和分形预测用于图像压缩
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167498
Hua Peng
{"title":"Wavelet transform and fractal predict for image compression","authors":"Hua Peng","doi":"10.1109/ICMLC.2002.1167498","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167498","url":null,"abstract":"The applications of fractal theory and wavelet transform in image compression have become a focus in recent years. To integrate with the merits of these two techniques and obtain good quality and efficiency, here introduces an algorithm based on both wavelet transform and fractal theory, which use discrete wavelet transform on Haar to get coefficients of a digital image and then organize these coefficients by fractal predict.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"25 1","pages":"1673-1675 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84978638","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
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