2010 Fourth International Conference on Genetic and Evolutionary Computing最新文献_第10页

Parallelized Artificial Bee Colony with Ripple-communication Strategy 基于波纹通信策略的并行化人工蜂群

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.93

Ruhai Luo, Tien-Szu Pan, Pei-wei Tsai, Jeng-Shyang Pan

引用次数: 24

Forecasting Corrosion Rate of Coolingwater Based on Least Squares Support Vector Machine 基于最小二乘支持向量机的冷却水腐蚀速率预测

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.211

Yang Shan-rang, Liu Xiuwei, Cao Shengxian, Zhao Bo, Huang Yanping, Liu Fan, Men Hong, X. Zhiming

引用次数: 1

The Research on Chinese Coreference Resolution Based on Support Vector Machines 基于支持向量机的中文互参分辨研究

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.49

Yihao Zhang, Peng Jin

引用次数: 1

The Research of Management Algorithm about Radio Resource in Wireless Mesh Network 无线Mesh网络中无线资源管理算法的研究

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.28

X. Guo, Chuande Dong

引用次数: 0

Polyphonic Word Disambiguation with Machine Learning Approaches 用机器学习方法消除复音词歧义

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.67

Jinke Liu, Weiguang Qu, Xuri Tang, Yizhe Zhang, Yuxia Sun

引用次数: 9

A Novel Particle Swarm Optimization Algorithm Based on Fuzzy Velocity Updating for Multi-objective Optimization 基于模糊速度更新的多目标粒子群优化算法

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.14

W.A. Yang, Y. Guo, W. Liao

引用次数: 1

The Operating Transient Process Analysis and Synchronous Switching Strategies Research of Vacuum Breaker 真空断路器运行暂态过程分析及同步开关策略研究

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.43

Z. Qingjie, Yuan Haiwen, Liu Yingyi, Wang Qiusheng

{"title":"The Operating Transient Process Analysis and Synchronous Switching Strategies Research of Vacuum Breaker","authors":"Z. Qingjie, Yuan Haiwen, Liu Yingyi, Wang Qiusheng","doi":"10.1109/ICGEC.2010.43","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.43","url":null,"abstract":"Circuit breaker switching operation will generate transient voltage and inrush current. The synchronous switching control strategies research can effectively reduce the transient effect and improve power quality. The transient operation process of vacuum circuit breaker is analyzed by deriving the system voltage and current expressions when vacuum circuit breaker switching reactive compensation capacitor bank. The theory switching phases without transient transition process are obtained by referring to the voltage and current expression. The optimum switching capacitor banks phase and new synchronous switching control strategies of different connections capacitor bank are given by synthetically considering closing action time dispersion, pre-strike characteristic and opening arcing time of vacuum circuit breaker. The voltage and current waveforms when vacuum circuit breaker randomly, according to traditional and new synchronous switching strategies switching ungrounded Y capacitor banks connection are simulated in the article. Simulation results show that the inrush current under the new synchronous switching control strategies can be reduced 1.2p.u.and closing voltage has no oscillation transition process, that is, directly accesses to steady-state. So the theoretical analysis and synchronous switching control strategies in the article are verified correctly.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026132","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

Techniques for Automatic Magnetic Resonance Image Classification 磁共振图像自动分类技术

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.186

Hsian-Min Chen, Shih-Yu Chen, J. Chai, C. Chen, Chao-Cheng Wu, Y. Ouyang, C. Tsai, Ching-Wen Yang, San-Kan Lee, Chein-I. Chang

{"title":"Techniques for Automatic Magnetic Resonance Image Classification","authors":"Hsian-Min Chen, Shih-Yu Chen, J. Chai, C. Chen, Chao-Cheng Wu, Y. Ouyang, C. Tsai, Ching-Wen Yang, San-Kan Lee, Chein-I. Chang","doi":"10.1109/ICGEC.2010.186","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.186","url":null,"abstract":"Designing and developing automatic techniques for magnetic resonance images (MR) for data analysis is very challenging. One popular and public available method, FAST (FMRIB Automatic Segmentation Tool) has been widely used for automatic brain tissue segmentation for this purpose. This paper investigates limitations of this software algorithm on implementation and further develops a new approach to automatic MR brain tissue classification. The proposed new technique first implements an unsupervised training sample generation process (UTSGP) which includes a Pixel Purity Index (PPI) to generate an initial set of training samples that are further refined by a Support Vector Machine. The resulting training samples are then as a set of training samples for an Iterative Fisher’s Linear Discriminant Analysis (IFLDA) which implements FLDA iteratively to improve classification. In order to conduct a fair comparison synthetic images are used for performance evaluation. Experimental results show that our proposed technique is superior in practical implementation to this software algorithm in several aspects of generalization ability, flexibility of choosing number of classes to be classified, avoidance of inconsistent results caused by different initial conditions.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132587915","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

Community Mining in Complex Network Based on Parallel Genetic Algorithm 基于并行遗传算法的复杂网络社区挖掘

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.87

Xilu Zhu, Bai Wang

引用次数: 6

Research on Data Prefetching Strategy to Support Real-time Transactions Processing in Mobile Learning Environments 移动学习环境下支持实时事务处理的数据预取策略研究

2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.206

Youfu Du, Ming Zhao

引用次数: 0