The Effect Of Number Of Training Samples For Feed Forward Neural Network

Abstract

In this paper we study the effect of the number of training samples for feed forward neural networks (FFNN) which is necessary for training process of feed forward neural network. Also we design 5 FFNN's and train 41 FFNN's which illustrate how good the training samples represent the actual function for FFNN