Journal of Harmonized Research in Engineering

LEARNING IN FEEDFORWARD NEURAL NETWORKS

Abstract

Author(s): Naveen Malik, Naeem Akhtar, Hardeep Rohilla, Rahul, Pankaj Sharma

In this Research paper, learning in feedforward networks will be considered. A feed forward neural network is an artificial neural network where connections between the units do not form a directed cycle. This is different from recurrent neural networks. The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves forwardly in only one direction, from the input nodes, through the hidden nodes and to the output nodes. There are no cycles or loops in the network.