Learning as a multi-objective optimization in feedforward neural networks
A. Dumitras, V. Lãzãrescu, Mircea Gh. Negoita · 2002
We prove that a multi-objective optimization approach of the learning process in feedforward neural networks leads to better signal processing performances in the presence of impulsive noise and outliers.