近十年来人工智能技术在贾达夫普尔大学微带元件和天线设计中的应用

B. Gupta, S. Chakraborty, P. Mukherjee, S. Biswas
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引用次数: 0

摘要

人工智能技术,如人工神经网络(ANN)和遗传算法(GA)等,在软计算领域是众所周知的,以解决计算密集型问题。作者在Jadavpur大学的研究集中在应用这些技术来克服微带元件和天线在几个有用参数方面的限制,如带宽,功率处理能力等。简要列出了这些近期作品的影响因素和创新之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of artificial intelegence techniques in microstrip component and antenna design at Jadavpur University in the present decade
Artificial intelligence techniques viz. artificial neural networks (ANN) and genetic algorithms (GA) etc. are well-known in the field of soft computing to solve computationally intensive problems. Researches at Jadavpur University by the authors focussed on applying these techniques to overcoming the limitations of microstrip components and antennas in terms of several useful parameters like band width, power handling capacity etc. Factors of influence experienced and innovations made in these recent works are enlisted in brief.
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