BP算法在高空作业平台支承点优化中的应用

Jian Zhao, Hongfeng Ma, Liang Sun
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引用次数: 0

摘要

目前,高空作业平台支撑点的设计多采用参数化设计。随着各构件重心相对位置的变化,很难为设计人员提供一个好的方案。我们需要一个CAD软件来获得方案。BP算法是一种神经网络算法。通过训练BP算法得到映射关系,对高空作业平台支撑点进行优化。当设计者输入相应的设计参数时,就可以直接得到设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of BP Algorithm in Optimization of the Supporting Point of Aerial Work Platform
At the moment, the parametric design is used in the design of the supporting point of aerial work platform. With the change of the relative position of the center gravity of each component, it is difficult to provide a great scheme for designer. We need a CAD software to obtain the scheme. The BP algorithm is a neural network algorithm. The mapping relation is obtained by training BP algorithm for the optimization of the supporting point of aerial work platform. When designer input the corresponding design parameters, they can directly get the design scheme.
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