A study on gray neural network modeling

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1175391

L. Zhong, Jingling Yuan, Hongxia Xia, Chengming Zou

引用次数: 13

Abstract

In order to resolve complex gray uncertainly problems, the gray neural network modeling (GNNM) method by combining gray system theory with neural network is studied and improved in the paper. Also, a method of GNNM (1, 1) based on the time response model is proposed. With an eye to the multidimensional indefinite problems in which all kinds of genetic relationships and mechanisms exist, GNNM (1, 4) is established on the basis of GNNM (1, 1).

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灰色神经网络建模研究

为了解决复杂的灰色不确定性问题，本文将灰色系统理论与神经网络相结合，对灰色神经网络建模方法进行了研究和改进。同时，提出了一种基于时间响应模型的GNNM(1,1)方法。针对存在各种遗传关系和机制的多维不确定问题，在GNNM(1,1)的基础上建立了GNNM(1,4)。

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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Proceedings. International Conference on Machine Learning and Cybernetics

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