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    题名: Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization
    作者: 林正堅
    贡献者: 資訊工程系
    日期: 2011-01
    上传时间: 2017-12-17 13:27:12 (UTC+8)
    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. (36 refs)
    關聯: Informatica
    显示于类别:[資訊工程系(所)] 【資訊工程系所】期刊論文

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