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基于CBR与神经网络的摩托车智能设计系统研究
引用本文:麻芳兰,何玉林,李尚平,冯豪.基于CBR与神经网络的摩托车智能设计系统研究[J].计算机工程与应用,2005,41(35):204-206.
作者姓名:麻芳兰  何玉林  李尚平  冯豪
作者单位:1. 重庆大学机械工程学院,重庆,400044;广西大学机械工程学院,南宁,530004
2. 重庆大学机械工程学院,重庆,400044
3. 广西工学院,柳州,545006
基金项目:国家自然科学基金项目(编号:50375161);重庆市科技攻关项目(编号:7823-10)
摘    要:针对摩托车总体设计过程依据相似性进行局部创新设计的特点,提出了基于CBR与神经网络的摩托车智能设计系统结构。采用面向对象方法对摩托车实例知识进行表示与组织,并将神经网络引入到实例推理中,利用ART1网络实现基于特征的动态层次聚类,通过BP网络实现从聚类模板到每一实例的索引,从而提高系统的推理效率与质量,形成有效的推理系统。

关 键 词:摩托车  智能设计  面向对象方法  CBR  神经网络
文章编号:1002-8331-(2005)35-0204-03
收稿时间:2005-07
修稿时间:2005-07

Research on Intelligent Design System of Motorcycle Based on CBR and Neural Network
Ma Fanglan,He Yulin,Li Shangping,Feng Hao.Research on Intelligent Design System of Motorcycle Based on CBR and Neural Network[J].Computer Engineering and Applications,2005,41(35):204-206.
Authors:Ma Fanglan  He Yulin  Li Shangping  Feng Hao
Affiliation:1.College of Mechanical Engineering, Chongqing University, Chongqing 400044;2.College of Mechanical Engineering,Guangxi University,Nanning 530004;3.Guangxi Engineering Institute,Liuzhou 545006
Abstract:In general,the overall design of the motorcycle is an innovative design in local based on the similarity of the mature product.According to this,the intelligent design system based on CBR and neural network is presented.The cases of the motorcycle are expressed and organized with the object-oriented method.Meanwhile,the neural network is introduced into the CBR system.ART1 neural network is used to cluster dynamically the cases based on the features and BP neural network is applied to index each case based on the clustered template.Therefore,the reasoning efficiency of the CBR system is enhanced and an effective reasoning system is achieved.
Keywords:motorcycle  intelligent design  object-oriented method  CBR  neural network
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