神经网络活动神经元的多项式复杂度GMDH归纳整理算法

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Pub Date : 1999-07-10 DOI:10.1109/IJCNN.1999.831124

A. Ivakhnenko, D. Wunsch, G. A. Ivakhnenko

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引用次数: 35

摘要

具有自组织结构的活动神经元的神经网络可以对其神经元使用归纳分选GMDH算法。为了减少大输入数据样本情况下的计算时间，提出了一种多项式复杂度的阈值型GMDH算法。

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Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network

Neural networks with active neurons which self-organize their structure can use inductive sorting-out GMDH algorithms for their neurons. New threshold type GMDH algorithm with polynomial complexity is developed to decrease computing time in case of large input data sample.

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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

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