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.

Gradient evaluation for neural networks based electromagnetic optimization procedures

ANTONINI, GIULIO;ORLANDI, Antonio
2000-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/291
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