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首页> 外文期刊>Network Daily News >New Computational Mathematics Findings from Huaiyin Institute of Technology Discussed (Neural Network Inverse Model for Multiband Unequal Wilkinson Power Divider)
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New Computational Mathematics Findings from Huaiyin Institute of Technology Discussed (Neural Network Inverse Model for Multiband Unequal Wilkinson Power Divider)

机译:新计算数学的发现淮阴理工学院的讨论(神经网络多波段不平等的逆模型威尔金森功率分配器)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in Mathematics - Computational Mathematics. According to news reporting out of Huai’an, People’s Republic of China, by NewsRx editors, research stated, “The purpose of this paper is to build a neural network (NN) inverse model for the multi-band unequal-power Wilkinson power divider (WPD). Because closed-form expressions of the inverse input-output relationship do not exist, the NN becomes an appropriate choice, because it can be trained to learn from the data in inverse modeling.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员讨论新发现在数学,计算数学。根据新闻报道怀安,中华人民共和国NewsRx编辑,研究指出:“本文的目的建立一个神经网络(NN)的逆模型多波段不平等的权力威尔金森功率分配器(WPD)。逆输入-输出关系并不存在,神经网络成为一个合适的选择,因为它可以训练学习逆的数据吗建模”。

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