Machine Learning in Antenna Design: An Overview on Machine Learning Concept and Algorithms

H. M. E. Misilmani, Tarek Naous
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引用次数: 48

Abstract

With the growth and wide variety of available data, advanced processing, and affordable data storage, machine learning is witnessing great attention in finding optimized solutions in various fields. Machine learning techniques are currently taking a major part of the ongoing research, and expected to be the key player in today’s technologies. This paper introduces and investigates the applications of machine learning in antenna design. It covers the major aspects of machine learning, including its basic concept, differentiation with artificial intelligence and deep learning, learning algorithms, its wide applications in various technologies, with a main focus on its usage in antenna design. The review also includes a comparison of the results using machine learning in antenna design, compared to the conventional design methods.
天线设计中的机器学习:机器学习概念和算法概述
随着可用数据的增长和各种各样的数据,先进的处理和负担得起的数据存储,机器学习在寻找各个领域的优化解决方案方面受到了极大的关注。机器学习技术目前是正在进行的研究的主要部分,并有望成为当今技术的关键角色。本文介绍并研究了机器学习在天线设计中的应用。它涵盖了机器学习的主要方面,包括它的基本概念,与人工智能和深度学习的区别,学习算法,它在各种技术中的广泛应用,主要关注它在天线设计中的应用。该综述还包括与传统设计方法相比,在天线设计中使用机器学习的结果的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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