教師資料查詢 | 類別: 期刊論文 | 教師: 余 繁 YU FUN (瀏覽個人網頁)

標題:Hybrid Recursive Particle Swarm Optimization Learning Algorithm in the Design of Radial Basis Function Networks
學年95
學期2
出版(發表)日期2007/03/01
作品名稱Hybrid Recursive Particle Swarm Optimization Learning Algorithm in the Design of Radial Basis Function Networks
作品名稱(其他語言)
著者Feng, Hsuan-ming; Chen, Ching-yi; 余繁; Ye, Fun
單位淡江大學電機工程學系
出版者Springer
著錄名稱、卷期、頁數Journal of Marine Science and Technology 15(1), pp.31-40
摘要In this paper, an innovative hybrid recursive particle swarm optimization (HRPSO) learning algorithm with normalized fuzzy c-mean (NFCM) clustering, particle swarm optimization (PSO) and recursive least-squares (RLS) is proposed to generate radial basis function networks (RBFNs) modeling system with small numbers of descriptive radial basis functions (RBFs) for fast approximating two complex and nonlinear functions. Simulation results demonstrate that the generated NFCM-based learning schemes approach the desired modeling systems within the smaller population sizes.
關鍵字normalized fuzzy c-means; particle swarm optimization; recursive least-squares; radial basis function networks
語言英文
ISSN0948-4280
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