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Optimization of Antenna Parameters Using Artificial Neural Network: A Review

机译:人工神经网络优化天线参数的研究进展

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Microstrip Patch antenna is used in various antenna systems because of their low profile, light weight, low cost, compactness etc. Patch antenna is also used with Microwave IC’s and Monolithic Microwave IC’s because of its compatibility. Artificial neural network have become popular for predicting performance parameters of various antenna because of their learning and simplification features. The use of neural networks can considerably diminish the complexity. An upfront application of an artificial network consumes the information resulting from the composite measured processes to train an ANN. After appropriate process of training, these network representation can be considered in place of computationally exhaustive representations in order to hurry up the investigation. Various neural network training algorithm were used by the researchers to optimize the parameters of various antenna and to obtain the accurate results in less time. In this paper, we have made a study and survey on various antenna designs parameters using artificial neural network.
机译:Microstrip贴片天线由于其外形小巧,重量轻,成本低,紧凑等优点而被用于各种天线系统。由于其兼容性,Patch天线还可以与微波IC和单片微波IC一起使用。人工神经网络因其学习和简化特性而在预测各种天线的性能参数方面变得很流行。神经网络的使用可以大大降低复杂性。人工网络的前期应用会消耗由复合测量过程产生的信息来训练ANN。经过适当的培训过程后,可以考虑使用这些网络表示形式来代替计算详尽的表示形式,以加快调查速度。研究人员使用各种神经网络训练算法来优化各种天线的参数,并在更短的时间内获得准确的结果。在本文中,我们使用人工神经网络对各种天线设计参数进行了研究和调查。

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