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Abstract: The
application of neural network and genetic algorithm to inverse solution
of parameters of drawbead used in drawing procedure of corner backstop
of front floor of a truck is discussed. A neural network model, the
structure of which is optimized in genetic algorithm, is designated to
simulate the nonlinear mapping relation between parameters used to
reflect metal forming effect and geometric parameters of semi-circular
drawbead. A sample design method with gradual local densifing samples is
developed. The method is helpful to shorten design period of neural
network and to improve simulating degree of neural network. It is
especially suitable to the case of sample datum being gotten by finite
analysis automatically.
Key words: Drawbead Neural network Genetic algorithm Inverse problem
of parameters Optimization of neural network structure
CLC No: TG302
TP391
国家973计划课题(2004CB719402)、教育部跨世纪优秀人才培养计划基金和福特－中国研究与发展基金(2001A53002)资助项目.
Received 20040403, received in revised form 20041203
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