A Consideration on the Learning Algorithm of Neural Network

Norio BABA, Ken SATO
1998 Transactions of the Society of Instrument and Control Engineers  
Back propagation method with momentum has often been applied to adapt artificial neural networks for various pattern classification problems. However, an important limitation of this method is that its learning performance depends heavily upon the selection of the values of momentum factor and step size. In this paper, it is shown that hierarchical structure stochastic automata are quite helpful for finding appropriate values of the parameters involved in the BP method with momentum.
doi:10.9746/sicetr1965.34.621 fatcat:o6qnwibo3zhodjyi2j7ttodhmy