Cross entropy error function in neural networks
This paper applies artificial neural networks to forecast gasoline consumption. The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with r...
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| Other Authors: | , |
| Format: | conferenceObject |
| Published: |
2002
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| Online Access: | http://hdl.handle.net/10725/6723 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://dl.acm.org/citation.cfm?id=708603 |
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