| 单体模糊神经网络的学习规则及其收敛性研究 |
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| 引用本文： | 朱晓铭,王士同.单体模糊神经网络的学习规则及其收敛性研究[J].计算机研究与发展,2001,38(9):1057-1060. |
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| 作者姓名： | 朱晓铭 王士同 |
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| 作者单位： | 华东船舶工业学院计算机科学系 |
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| 基金项目： | 国家自然科学基金资助 ( 6 9840 0 0 3) |
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| 摘 要： | 兴久祯教授在不久前研究了单体模糊神经网络（MFNNs)的函数逼近能力，在此基础上，提出了单体模糊神经网络（MFNNs)的学习规则并进一步研究了其收敛性，研究结果表明，所提出的学习规则百收敛的，这一结论为单体模糊神经网络的应用提供了坚实的理论基础。
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| 关 键 词： | 单体模糊神经网络 学习规则 收敛性 鲁棒性 |
RESEARCH ON THE LEARNING RULES AND THEIR CONVERGENCE OF MONOLITHIC FUZZY NEURAL NETWORKS |
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| ZHU Xiao-Ming and WANG Shi-Tong.RESEARCH ON THE LEARNING RULES AND THEIR CONVERGENCE OF MONOLITHIC FUZZY NEURAL NETWORKS[J].Journal of Computer Research and Development,2001,38(9):1057-1060. |
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| Authors: | ZHU Xiao-Ming and WANG Shi-Tong |
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| Abstract: | J Z Liang presents monolithic fuzzy neural networks (MFNNs) and studies their function approximation capabilities. In this paper, the learning rules of MFNNs are proposed and their convergence properties are studied. The results here show that the learning rules presented are convergent, which provides solid theoretical foundation for MFNNs' application. |
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| Keywords: | monolithic fuzzy neural networks(MFNNs) learning rules convergence |
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