- 期刊
Nonlinear System Identification using Grey-mean-best Differential Evolution Algorithm
並列摘要
On the basis of our previous work, differential evolution with grey-mean-best mutation (DE/GmBest/1), this study attempts to apply it to identify an unknown system whose structure is assumed to be known in advance. The search performance of DE/GmBest/1 is compared with two standard DEs, DE/rand/1 and DE/best/1, and our previous work, DE with mean-best mutation strategy (DE/mBest/1) in terms of parameter accuracy, convergence speed and reliability. Simulation results demonstrate the effectiveness of DE/GmBest/1 algorithm. The results also show that grey-mean-best mutation strategy performs better than mean-best mutation strategy.
被引用紀錄
李昀樵（2014）。使用查詢詞擴展與自動習得之聲學組型強化語音數位內容之語意檢索〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2014.01274
延伸閱讀
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