Using Neural Networks for Semiconductor Package Optimization

Archange Kra-Bassa, Janet Tocho, Mercy Daniel-Aguebor
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Abstract

This study explores this new avenue by manipulating a specific type of machine learning algorithm called a Neural Network. Specifically, an Artificial Neural Network (ANN) to aid in the design process of a transmission line, and other RF devices. The proposed transmission line is a conductor or multiple conductors created to move certain electrical signals or plain electrical power over longer distances while preventing deterioration of quality in any specified metric. The loss in this metric will be measured in S-parameters.
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应用神经网络进行半导体封装优化
这项研究通过操纵一种称为神经网络的特定类型的机器学习算法来探索这一新的途径。具体来说,是一个人工神经网络(ANN)来帮助传输线和其他射频设备的设计过程。拟议的传输线是一根或多根导体,用于在更远的距离上传输某些电信号或普通电力,同时防止任何特定度量的质量恶化。这个度量的损失将用s参数来测量。
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