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A Training Scheme for Pattern Classification Using Multi-layer Feed-forward Neural Networks.

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Keeni99.pdf (246.4Kb)
Date
1999
Author
Keeni, Kanad
Nakayama, Kenji
Shimodaira, Hiroshi
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Abstract
This study highlights on the subject of weight initialization in multi-layer feed-forward networks. Training data is analyzed and the notion of criti- cal point is introduced for determining the initial weights for the input to hidden layer synaptic con- nections. The proposed method has been applied to artificial data. The experimental results show that the proposed method takes almost 1/2 of the train- ing time required for standard back propagation.
URI
http://hdl.handle.net/1842/1179
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