Enhanced Synergetic Classifier For Personal Emotion Classification

Enhanced Synergetic Classifier For Personal Emotion Classification

This research proposed the synergetic computer melting algorithm (SC-Melt),as an attractor neural network,is proposed to classify the data obtained into the different emotion classes. Weight distribution for each channel in the decision fusion is optimised with the particle swarm optimisation (PSO)...

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書目詳細資料
主要作者:	Wong , Wee Ming
格式:	Thesis
出版:	2011
主題:	QA76.75-76.765 Computer software
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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