2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering最新文献_第3页

Multiple kernel learning method for network anomaly detection 网络异常检测的多核学习方法

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680860

Guanghui Song, Xiaogang Jin, Genlang Chen, Yan Nie

引用次数: 6

Automation system for optimization of vulcanization accelerator production 硫化促进剂生产优化自动化系统

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680757

Xiaodong Zhang, Xiujuan Li, Ke Lu

引用次数: 0

Stock management system based on principle of ERP and its algorithm design 基于ERP原理的库存管理系统及其算法设计

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680753

Sisheng Zong, Yongling Yu, Jinfa Shi

引用次数: 1

Analytical structure characterization and stability analysis for a class of Mamdani fuzzy controllers 一类Mamdani模糊控制器的解析结构表征及稳定性分析

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680810

H. Ying

{"title":"Analytical structure characterization and stability analysis for a class of Mamdani fuzzy controllers","authors":"H. Ying","doi":"10.1109/ISKE.2010.5680810","DOIUrl":"https://doi.org/10.1109/ISKE.2010.5680810","url":null,"abstract":"We study how the components of a general class of Mamdani fuzzy controllers dictate the controller's input-output relationship. The controllers can use input fuzzy sets of any types, arbitrary fuzzy rules, arbitrary inference methods, either Zadeh or the product fuzzy logic AND operator, singleton output fuzzy sets, and the centroid defuzzifier. We theoretically prove that regardless of the choices for the other components, if and only if Zadeh fuzzy AND operator and piecewise linear (e.g., trapezoidal or triangular) input fuzzy sets are used, the fuzzy controllers become a peculiar class of nonlinear controllers. This necessary and sufficient condition becomes a sufficient condition if the product AND operator is employed instead. Taking advantage of this new structure knowledge, we have established a necessary and sufficient local stability condition for the fuzzy control systems. It can be used not only for the stability determination, but also for practically designing a fuzzy control system that is at least stable at the equilibrium point even when model of the controlled system is mathematically unknown.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"12 1","pages":"128-134"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87534656","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

Decomposition of reduced character of Chinese Guqin notation 中国古琴谱的约简特征分解

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680849

Enzhi Ni, Min Jiang, Changle Zhou

引用次数: 4

An algebraic method for managing reliability in propositional logics 命题逻辑中可靠性管理的代数方法

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680813

Antonio Hernando, E. Roanes-Lozano, J. Montero

引用次数: 1

Joint detection of cyclostationary and energy in cognitive radio 认知无线电中周期平稳与能量的联合检测

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680819

Yi Zhang, Lingling Zhang, Chengkai Tang

引用次数: 9

A decision-making method based on Linguistic Aggregation operators for coal mine safety evaluation 基于语言聚合算子的煤矿安全评价决策方法

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680786

Chun-Chin Wei, Ruifu Yuan

引用次数: 6

Optimized Gabor filter parameters for uniform texture flaw detection 优化了均匀纹理缺陷检测的Gabor滤波器参数

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680817

Liangzhong Fan, G. Jiang

引用次数: 6

A refined weighted K-Nearest Neighbors algorithm for text categorization 一种用于文本分类的改进加权k近邻算法

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI: 10.1109/ISKE.2010.5680854

Fang Lu, Qingyuan Bai

{"title":"A refined weighted K-Nearest Neighbors algorithm for text categorization","authors":"Fang Lu, Qingyuan Bai","doi":"10.1109/ISKE.2010.5680854","DOIUrl":"https://doi.org/10.1109/ISKE.2010.5680854","url":null,"abstract":"Text categorization is one important task of text mining, for automated classification of large numbers of documents. Many useful supervised learning methods have been introduced to the field of text classification. Among these useful methods, K-Nearest Neighbor (KNN) algorithm is a widely used method and one of the best text classifiers for its simplicity and efficiency. For text categorization, one document is often represented as a vector composed of a series of selected words called as feature items and this method is called the vector space model. KNN is one of the algorithms based on the vector space model. However, traditional KNN algorithm holds that the weight of each feature item in various categories is identical. Obviously, this is not reasonable. For each feature item may have different importance and distribution in different categories. Considering this disadvantage of traditional KNN algorithm, we put forward a refined weighted KNN algorithm based on the idea of variance. Experimental results show that the refined weighted KNN makes a significant improvement on the performance of traditional KNN classifier.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"36 1","pages":"326-330"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88156574","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: 21