文章基本信息

标题：Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization
本地全文：下载
作者：C.-J. Lin ; C.-C. Peng ; C.-Y. Lee 等
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2011
卷号：35
期号：1
出版社：The Slovene Society Informatika, Ljubljana
摘要：This study presents a novel symbiotic adaptive particle swarm optimization (SAPSO) for neuro-fuzzy network design. The proposed SAPSO uses symbiotic evolution and adaptive particle swarm optimization with neighborhood operator (APSO-NO) to improve the performance of the traditional PSO. In APSO-NO, we combine the neighborhood operator and the adaptive particle swarm optimization to tune the particles that are most significant. Simulation results have shown that the proposed SAPSO performs better and requires less computation time than the traditional PSO.
关键词：particle swarm optimization; symbiotic evolution; neuro-fuzzy network; identification; prediction