Pereyra, V.; Scherer, G.; Wong, F. - In: Mathematics and Computers in Simulation (MATCOM) 73 (2006) 1, pp. 231-243
The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be ill-conditioned and require special techniques. A robust algorithm based on the Variable Projections method of Golub and Pereyra is designed for a class of feed-forward...