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基于人工神经网络的继电器评价系统
引用本文:赵军,李志刚,李玲玲,张利顺. 基于人工神经网络的继电器评价系统[J]. 低压电器, 2010, 0(9): 7-9,65
作者姓名:赵军  李志刚  李玲玲  张利顺
作者单位:1. 河北工业大学,天津,300130
2. 中国人民解放军93448部队,天津,300270
基金项目:国家自然科学基金资助项目 
摘    要:
为在继电器的设计和生产阶段通过多个评价指标评价其整体品质,研究了多层次综合评判模型的可计算性。该模型依据电器产品设计方案关于技术性能和成本的综合评价指标体系,并通过对神经网络原理的评判方法的研究而建立。实例证明,人工神经网络的出现为处理各种模糊的、数据不完全的、模拟的、不精确的模式识别问题提供了一个全新的途径。

关 键 词:模糊综合评判  人工神经网络  模式识别  继电器

Evaluation System of Relays Based on Artificial Neural Network
ZHAO Jun,LI Zhigang,LI Lingling,ZHANG Lishun. Evaluation System of Relays Based on Artificial Neural Network[J]. Low Voltage Apparatus, 2010, 0(9): 7-9,65
Authors:ZHAO Jun  LI Zhigang  LI Lingling  ZHANG Lishun
Affiliation:ZHAO Jun1,LI Zhigang1,LI Lingling1,ZHANG Lishun2(1.Hebei University of Technology,Tianjin 300130,China,2.No.93448 Troops of PLA,Tianjin 300270,China)
Abstract:
In order to evaluate the quality of relay product through many estimation standards during the desig-ning and producing stage,the computability of multi-layer comprehensive evaluation mode was researched.This model was designed based on comprehensive evaluation index system of technical feature and cost in the design of e-lectrical products and also based on the research of evaluation method of artificial neural network(ANN).The ap-plication instances proved that the ANN provided a new way to deal with a va...
Keywords:fuzzy comprehensive evaluation  artificial neural network  pattern recognition  relay  
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