前馈神经网络的结构自适应

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374491

K. Khorasani, W. Weng

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引用次数: 10

摘要

本文提出了两种自适应调整网络结构的新结构(算法)。考虑了前馈神经网络的神经元修剪和神经元生成。仿真结果证实了利用所提出的算法所获得的改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Structure adaptation in feed-forward neural networks

In this paper two new structures (algorithms) are proposed for adaptively adjusting the network structure. Both neuron pruning and neuron generating are considered for a feedforward neural network. Simulations results are presented to confirm the improvements that are obtained as a result of utilizing the proposed algorithms.<>

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

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