基于人工神经网络的电路模块元器件布局优化

H. Huang, De-jian Zhou, Zhaohua Wu
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引用次数: 0

摘要

本文采用有限元法和计算机辅助热模拟软件,考虑热产生、热扩散方式和方向、元器件长宽比、PCB板厚度等影响温度的因素,建立了温度场分析模型。并将人工神经网络方法应用于元器件布局优化,实现了元器件在小空间内的合理位置和最佳温度分布。并对热设计的具体措施和方法提供了一些参考,希望对PCB设计人员有所帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Components Layout Optimization of Circuit Module Based on the Artificial Nerve Network
In this paper a model for temperature field analysis is established by FEM (finite element method) and computer aided thermal simulation soft with regard to such factors affecting temperature as heat generation, heat diffusion manner and direction, ratio of length and width of component, thickness of PCB and so on. And the artificial nerve network method for components layout optimization is applied to achieve a reasonable components position in a small space and a best temperature distribution. Also some reference of concrete measure and method for thermal design is hoped to do the PCB designers a favor.
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