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基于神经网络的机械CAD系统研究
引用本文:胡东明.基于神经网络的机械CAD系统研究[J].起重运输机械,2012(4):76-79.
作者姓名:胡东明
作者单位:江苏省特种设备安全监督检验研究院无锡分院 无锡214023
摘    要:结合机械产品的特点,探讨了将神经网络技术应用于设计过程的重要意义.根据神经网络的原理和算法推导,设计了知识库模型和推理机控制系统,并构建整个机械CAD系统的框架结构.以门式起重机的设计过程为例,验证了神经网络应用于CAD系统的合理性与有效性,实现了机械产品的自动化设计.

关 键 词:神经网络  BP算法  知识库  CAD系统  门式起重机

Research on mechanical CAD system based on neural network
Hu Dongming.Research on mechanical CAD system based on neural network[J].Hoisting and Conveying Machinery,2012(4):76-79.
Authors:Hu Dongming
Affiliation:Hu Dongming
Abstract:Combined with characteristics of mechanical products,this paper discusses the significance applying neural network technology to design process.Based on the theory and algorithm derivation of neural network,knowledge base model and reasoning machine control system are designed and frame construction of the whole mechanical CAD system is built. Taking design process of the gantry crane as an example,the rationality and effectiveness applying neural network to CAD system,which realizes automation design of mechanical products,is verified.
Keywords:neural network  BP algorithm  knowledge base  CAD system  gantry crane
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