%0 Journal Article
	%A Kavita Burse and  Manish Manoria and  Vishnu P. S. Kirar
	%D 2010
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 48, 2010
	%T Improved Back Propagation Algorithm to Avoid Local Minima in Multiplicative Neuron Model
	%U https://publications.waset.org/pdf/606
	%V 48
	%X The back propagation algorithm calculates the weight
changes of artificial neural networks, and a common approach is to
use a training algorithm consisting of a learning rate and a
momentum factor. The major drawbacks of above learning algorithm
are the problems of local minima and slow convergence speeds. The
addition of an extra term, called a proportional factor reduces the
convergence of the back propagation algorithm. We have applied the
three term back propagation to multiplicative neural network
learning. The algorithm is tested on XOR and parity problem and
compared with the standard back propagation training algorithm.
	%P 1776 - 1779