An automatically converging scheme based on the neural network and its application in antennas

Kun Chou Lee, Jhen Yan Jhang, Tsung Nan Lin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper, an automatically converging scheme based on the neural network and its application in antennas are presented. The proposed scheme can automatically converge toward the optimum of the system output without final solutions of system output as learning samples. Initially, the input and output of a complicated system are modeled by a neural network. By suitably extending the neural network, the gradient information of the system output is obtained and the scheme then automatically converges toward the optimum of the system output. Our scheme can be applied not only to optimization, but also to analyses of antenna problems.

Original languageEnglish
Pages (from-to)1270-1274
Number of pages5
JournalIEEE Transactions on Antennas and Propagation
Volume57
Issue number4 PART 2
DOIs
Publication statusPublished - 2009

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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