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出 处:《计算机测量与控制》2009年第1期124-125,128,共3页Computer Measurement &Control
基 金:第二炮兵装备科研项目(EP07-4D80021B)
摘 要:为了实现对导弹测发控系统的故障诊断,研究了模糊神经网络理论与算法,以及和专家系统的结合方式;综合神经网络、专家系统和模糊逻辑的各自优点和特点,提出了构建基于模糊神经网络的故障诊断专家系统的基本原则,并给出了一种构建方法;通过将传统的专家系统技术与模糊神经网络技术相融合,文中构造了某型导弹测发控系统智能故障诊断系统,验证了方案的可行性,为类似系统的进一步实现进行了有益的探索。To realize the fault diagnosis for the missile test launching control system, the theory and arithmetic of fuzzy neural network and the combine modes with fuzzy neural network and expert system were studied. According to respective advantages and characteristics of the neural network, expert system and fuzzy inference, the basic principle and a method for building fault diagnosis expert system based on fuzzy neural network were given. According to mutually blending the traditional expert system technique and fuzzy neural network tech nique, an intelligent fault diagnosis expert system of a certain missile test launching control system was built. The developed expert system has been proved to he feasihle hy the diagnosis result, which provides some useful references for further realization of the similar fault diagno- sis systems.
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