具有双极权值的多层网络

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374535

Intaek Kim

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引用次数: 1

摘要

提出了一种新的双极权值多层网络学习算法。学习过程包括确定网络的双极权值和每个节点激活函数的阈值。所得的网络对给定的二进制输入和输出对集执行完美的召回。此外，该网络可以很容易地使用数字技术来实现其权重。

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Multilayer network with bipolar weights

A new learning algorithm for multilayer network with bipolar weights (WNBW) is presented. The learning process includes determinations of the bipolar weights of the network and the threshold values at the activation functions in each node. The resultant network performs a perfect recall for given sets of binary input and output pairs. In addition, the network can be easily implemented using digital technology for the realization of its weights.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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