An improved expand-and-truncate learning
説明
This paper proposes a novel learning algorithm that can realize any binary-to-binary mapping by using three-layer binary neural networks. The algorithm includes an improved expand-and-truncate learning routine that can reduce the number of the hidden neurons by conventional methods. Also, the output layer parameters can be given by simple analytic formulae.
収録刊行物
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- Proceedings of International Conference on Neural Networks (ICNN'97)
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Proceedings of International Conference on Neural Networks (ICNN'97) 2 1111-1116, 2002-11-22
IEEE