Title :
Gradient evaluation for neural-networks-based electromagnetic optimization procedures
Author :
Antonini, G. ; Orlandi, A.
Author_Institution :
Dept. of Electr. Eng., Univ. of l´´Aquila, Italy
fDate :
5/1/2000 12:00:00 AM
Abstract :
This paper extends the use of a neural network (NN) approximating a function, to the evaluation of the gradient of the same function. This is done without any extra training of the network. The evaluation of the function´s gradient is used in NN-based optimization procedures in order to speed up the convergence and to maintain the overall accuracy
Keywords :
convergence; electrical engineering computing; electromagnetism; neural nets; optimisation; artificial neural networks; convergence; electromagnetic optimization procedures; function gradient evaluation; neural-network-based EM optimization procedures; Artificial neural networks; Conductors; Coplanar waveguides; Dielectric constant; Dielectric thin films; Gallium arsenide; Impedance; Neural networks; Optimization methods; Power transmission lines;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
