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中文摘要：
采用模糊神经网络构建了评估模型,提出了一种改进算法.该算法将监督训练与自主学习相结合,即反馈误差和修正权值,同时自动调整隶属函数的中心值和宽度.实验结果表明,新模型的实时性和准确性优于BP模型和SOFM模型.
英文摘要：
This work aims to puts forward a reliability assessment model based on Fuzzy Neural Network （FNN）,and to present a modified training algorithm. The modified algorithm combines supervised learning scheme with self-organized learning scheme,which feedback errors and modify parameters,at the same time,automatic adjust the central values and the width of membership function. Finally,the results of simulation show that the proposed model has the advantage of faster learning rate and higher assessing precision over BP model and SOFM model.
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