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基于监督聚类的极限学习机的增量学习算法分析.docx

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基于监督聚类的极限学习机的增量学习算法分析.docx

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基于监督聚类的极限学习机的增量学习算法分析.docx

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文档介绍:connecting hidden layer and the output layer. Experimental results show CW-ELM algorithm has good learning ability and produce better classification performance.
Keywords: Extreme Learning Machine , Supervised Clustering , Incremental learning, Classification
目 录
中文摘要...................................................................................................................................... I
英文摘要.....................................................................................................................................II
1 绪论.......................................................................................................................................... 1
研究背景................................................................................................................................ 1
国内外研究现状.................................................................................................................... 2
研究内容及研究意义............................................................................................................ 5
论文组织结构....................................................................................................................... 5
2 相关概念............................................................................................................................... 6
极限学习机........................................................................................................................... 6
单隐层前馈神经网络..................................................................................................... 6
极限学习机..................................................................................................................... 9
极限学习机研究现状.................................................................................................. 11
聚类..............................................................................................................................