Investigations in neural network learning using geometrical approach

In this thesis several methods to control the geometrical expansion process are proposed and analyzed. Our approaches turn out to gain faster training speed with satisfactory accuracy. We discuss problems both with Boolean inputs and with real-valued inputs respectively.

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書目詳細資料
主要作者: Wang, Di
其他作者: Narendra Shivaji Chaudhari
格式: Theses and Dissertations
出版: 2008
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在線閱讀:https://hdl.handle.net/10356/2517
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