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模糊神经网络原理及其在核爆监测中的应用
引用本文:冯地清,雷明.模糊神经网络原理及其在核爆监测中的应用[J].核电子学与探测技术,1996,16(5):350-353,373.
作者姓名:冯地清  雷明
作者单位:The Institute of Chemical Defence,P.o. BOx l048,Beijing,102205
摘    要:本文实现了一种利用基于BP算法的模糊神经网络(FNN)建立模糊模型的方法,这种方法可自动生成非线性系统的模糊模型,FNN被用来产生模糊规则和隶属函数,用数值计算和异或(XOR)问题对该方法的可行性和置信度进行了检验,结果表明,模糊神经网络能显著地改进模糊系统设计中的准确度,可靠性,缩短设计周期,降低系统成本,FNN用于核爆对人员伤害估计并可将网络简化成一种用于信号极点提取的规则神经网络(RNN)初

关 键 词:模糊神经网络  伤害估计  模糊设计  核爆炸监测

The Fundamental of Fuzzy Neural Network and Application in Nuclear Monitoring
Feng Diqing,Lei Ming.The Fundamental of Fuzzy Neural Network and Application in Nuclear Monitoring[J].Nuclear Electronics & Detection Technology,1996,16(5):350-353,373.
Authors:Feng Diqing  Lei Ming
Abstract:This paper presents a fuzzy modeling method using fuzzy neural network With the back- propagation algo-rithm. The new method can identify the fuzzy model of a nonlinear system automaticlly. Fuzzy nenral networkis used to generate fuzzy rules and membership functions. The feasibility and inferential statistics of the methodis examined by using numerical data and XOR problem. As an experimental result,the FNN inproves accuracyand reliability,saves design time and minimizes system cost of fuzzy design.The FNN can be used for estimationof human injury in nuclear explosions and can be simplified to a rule neural network(RNN),which is used forpole extraction of signal.Preliminary simulation shows that FNN bas vast vistas in nuclear monitoring.(
Keywords:Fuzzy neural network Rule neural network Estimation of human injury Po1eextraction Fuzzy design)
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