Intelligent assembly process design method based on morpheme division and artificial neural network
An artificial neural network and assembly process technology, applied in neural learning methods, biological neural network models, computing, etc., can solve the problems of low degree of intelligent automation, low design efficiency, and repeated labor, and achieve a concise and clear structure, improve Efficiency, the effect of reducing duplication of work
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[0042] The present invention will be further described below in conjunction with the drawings and embodiments.
[0043] Such as Figure 5 with Image 6 As shown, the present invention provides an intelligent assembly process design method based on morpheme division and artificial neural network, which includes assembly process knowledge expression and assembly process knowledge reasoning.
[0044] As attached figure 1 with figure 2 As shown, the assembly process knowledge expression and storage included in the present invention mainly includes the following steps:
[0045] 1) For the existing process knowledge items, the three natural semantics of object, method, and purpose are used as constraints to divide the morpheme to extract the assembly unit objects, process requirements, design requirements and process effects in the process knowledge.
[0046] 2) The assembly structure tree is constructed in the order of "assembly / assembly-component-assembly-assembly / part" from high to low. ...
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