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模糊小脑模型神经网络 被引量:19

STUDY ON RELIABILITY ESTIMATION METHOD FOR COLD STANDBY SYSTEMS
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摘要 提出输入层具有一定隶属度的模糊小脑模型神经网络(FuzzyCMAC),它比小脑模型CMAC(CerebelarModelArticulationControler)能更真实地描述客观世界.给出n维FuzzyCMAC算法,仿真结果表明FuzyCMAC比小脑模型CMAC具有如下优点:学习收敛速度快得多,可以学习模糊规则.FuzyCMAC比CMAC优越,使CMAC成为FuzzyCMAC的特例. ,This paper discusses the reliability estimation method for the cold standby system by illustrating n module mixed cold standby system.We not only present the general algorithm formulas and their mathematical proof in detail,but also deduce the reliability estmation formulas of several redundant structures.The paper unifies the deducing process for these redundant structures and shows their theoretic relations.Finally,the paper especially describes the calculating thought for a cold standby system which is in a practical project.
出处 《自动化学报》 EI CSCD 北大核心 1998年第2期173-178,共6页 Acta Automatica Sinica
关键词 模糊小脑模型 小脑模型 神经网络 CMAC ,Cold standby system,redundant structure,reliability estimation
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