Features Recognition of Parts Drawing Based on BP Neural Network of Genetic Algorithms
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TP391.41

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    Abstract:

    This paper gives a new approach to solve the problem of features recognition of parts drawing form by means of multi - layers BP neural network. The concept and arithmetic of expanding property matrix of parts drawing are brought forward. A feature recognition and extraction system of 2D revolving parts drawing is developed by means of secondary development of AutoCAD R2000. These works have high theoretical and practical value.

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张建勋 洪沙.基于遗传算法BP神经网络的零件图特征识别[J].土木与环境工程学报(中英文),2005,27(3):93~97

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  • Received:February 22,2005
  • Revised:February 22,2005
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