TY - JOUR
T1 - An automatically converging scheme based on the neural network and its application in antennas
AU - Lee, Kun Chou
AU - Jhang, Jhen Yan
AU - Lin, Tsung Nan
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=65549134736&partnerID=8YFLogxK
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U2 - 10.1109/TAP.2009.2015856
DO - 10.1109/TAP.2009.2015856
M3 - Article
AN - SCOPUS:65549134736
SN - 0018-926X
VL - 57
SP - 1270
EP - 1274
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 4 PART 2
ER -