2009 International Workshop on Intelligent Systems and Applications最新文献_第6页

Modified PSO-FLAC Coupling Optimum Method and Application in Underground Engineering Design 改进PSO-FLAC耦合优化方法及其在地下工程设计中的应用

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072959

Q. Jiang, X. Wan

引用次数: 1

Forecasting Method of Product Behavior Change Under Working Environment 工作环境下产品行为变化预测方法

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072874

Pengzhong Li, Weimin Zhang, Can Chen

引用次数: 0

KPCA Feature Extraction Based on CBPSO 基于CBPSO的KPCA特征提取

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072934

Zhao Min, Huixian Yang, Wei Juan, X. Ou

{"title":"KPCA Feature Extraction Based on CBPSO","authors":"Zhao Min, Huixian Yang, Wei Juan, X. Ou","doi":"10.1109/IWISA.2009.5072934","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072934","url":null,"abstract":"How to choose the best or near kernel function to reduce test error rate is the key of KPCA applied to extract nonlinear feature. In this article, on the basis of research of CA, PSO, we propose a programmer flow of CBPSO used for training kernel function and build CBPSO-KPCA. This approach can effectively optimize kernel function. Simulation results show that produces highly competitive results at a relatively low computational cost. Keywords—CBPSO algorithms; KPCA; feature extraction CA(Cultural Algorithm) is considered as a new evolutionary algorithm (1) . It is originated by Reynolds in 1994. The PSO (Particle swarm optimization) is originated by Eberhart (2) . It is begun in the development of bird's hunt behavior. In the article the PSO is combined with the CA model. It is full use of PSO's swift evolution ability and via the inheritance operation in the CA model to increase the variety of the population together; all these are built the CBPSO (Cultural based PSO). The KPCA (Kernel Principle Component Analysis, KPCA) is the technique of input and output characteristic non-linear change (3) , the analysis of in the characteristic space, in order to obtain a optimization characteristic change in the ability of failure test identify. Because of the existence of selecting all kinds of kernel functions and parameter, how to select the optimization of kernel function and parameter in order to reach the optimization test effect, is a problem and unsolved yet. According to the characteristic of kernel function parameter optimization, the article designs a new algorithm, use the CBPSO to train the kernel function, use the CBPSO-KPCA algorithm for feature extraction. The simulation experiment shows that the combine heightens the optimization of kernel function effectively, it overcome the difficulty of kernel function application in some extents.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"57 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84757444","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

A General QoS-Aware Service Composition Model for Ubiquitous Computing 面向普适计算的通用qos感知服务组合模型

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072622

Qingcong Lv, Fan Yang, Qiying Cao

引用次数: 2

Tide Table Digit Recognition Based on Wavelet-Grid Feature Extraction and Support Vector Machine 基于小波网格特征提取和支持向量机的潮汐表数字识别

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073220

Shuang Liu, Peng Chen

引用次数: 0

A Extended DCCP Congestion Control in Wireless Sensor Networks 无线传感器网络中一种扩展的DCCP拥塞控制

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072617

Yong-Min Liu, Xin-hua Jiang

引用次数: 12

Reduced TCP/IP Protocol Implement in VHDL 简化TCP/IP协议的VHDL实现

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073030

Renbo Wang, Xiong Wei

引用次数: 4

Improved Design of Remote Wireless Transmission Terminal using GPRS/GSM Integrated Network 基于GPRS/GSM综合网络的远程无线传输终端改进设计

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072905

Cheng Li, Tianhuai Ding, Ken Chen, Qi Chen

引用次数: 3

Application of Soft Computing in the Control of Hydroelectric Generating Unit 软计算在水轮发电机组控制中的应用

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072749

Shuqing Wang, Zipeng Zhang, Liqin Xue

{"title":"Application of Soft Computing in the Control of Hydroelectric Generating Unit","authors":"Shuqing Wang, Zipeng Zhang, Liqin Xue","doi":"10.1109/IWISA.2009.5072749","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072749","url":null,"abstract":"Hydroelectric generating unit system of water plant is a non-linear and complicated system. Conventional controller cannot get good controlling performance in control. In this study, an advanced soft computing technique based on fuzzy, neural network and genetic algorithm is used in the control of hydroelectric generating unit system of hydropower plant. Fuzzy reasoning system is used as controller and genetic algorithm is employed to optimize the parameters and rules of fuzzy controller in the design of controller or real-time control process. Dynamic identification model of control system based on RBF neural networks is designed to appraise the controlling performance of fuzzy controller. In the design, improved genetic algorithm is adopted based on general genetic algorithm and the character of control system. The improved genetic algorithm quickens optimizing speed and makes fuzzy controller acquire knowledge effectively. Simulation results show that the designed soft computing optimization control system can well control hydroelectric generating unit and its control performance is superior to conventional controller.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"62 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86988454","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

The Design on FTP Search Engine Model Based on Customer Feedback 基于用户反馈的FTP搜索引擎模型设计

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073180

Yan Niu, Dong Li, Lala Li

引用次数: 1