根据粗糙集理论进行BP网络设计的研究

李永敏;朱善君;陈湘晖;韩曾晋;孙增圻

系统工程理论与实践 ›› 1999, Vol. 19 ›› Issue (4) : 62-69.

PDF(203 KB)
PDF(203 KB)
系统工程理论与实践 ›› 1999, Vol. 19 ›› Issue (4) : 62-69. DOI: 10.12011/1000-6788(1999)4-62
论文

根据粗糙集理论进行BP网络设计的研究

    李永敏; 朱善君; 陈湘晖; 韩曾晋; 孙增圻
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A Rough Set Approach to BP Neural Network Designing

    Yong Min LI,Shan Jun ZHU,Xiang Hui CHEN,Zeng Jin HAN,Zeng Qi SUN
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摘要

提出了一种根据粗糙集理论进行BP网络设计的方法,它结合了粗糙集理论的强大的定性分析能力和BP网络的准确的逼近能力,得到一种可理解性好、计算简单、收敛速度快的神经网络模型.这种神经网络的学习算法的要点是:应用粗糙集的理论和方法,从给定学习样本数据中发现一组规则,并根据这些规则去建立网络模型中相应的隐层节点;然后用BP算法迭代求出网络的参数,从而完成网络的设计.

Abstract

A designing method for BP neural networks based on rough set theory is presented in this paper. Rough set theory has a powerful capability for qualitative analysis, while BP neural networks can approach most problems with a much satisfying accuracy. By combining those advantages of the two theories, we can construct a kind of neural network with good understandability, simple computation and exact accuracy. The key idea of the learning algorithm for the proposed neural network is as follows: find a set of r...

关键词

粗糙集 / 神经网络 / BP网络

Key words

rough sets / neural networks / BP networks

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李永敏 , 朱善君 , 陈湘晖 , 韩曾晋 , 孙增圻. 根据粗糙集理论进行BP网络设计的研究. 系统工程理论与实践, 1999, 19(4): 62-69 https://doi.org/10.12011/1000-6788(1999)4-62
Yong Min LI , Shan Jun ZHU , Xiang Hui CHEN , Zeng Jin HAN , Zeng Qi SUN. A Rough Set Approach to BP Neural Network Designing. Systems Engineering - Theory & Practice, 1999, 19(4): 62-69 https://doi.org/10.12011/1000-6788(1999)4-62
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