A feedforward neural network is a computing device whose processing units (the nodes) are distributed in adjacent layers connected through unidirectional links (the weights). Feedforward networks are widely used for pattern recognition. Here, two feedforward networks are taken into consideration, multi-layer perceptron and radial basis network. While designing these networks problem involves in finding the architecture which is efficient in terms of training time. In this paper, different data samples will be presented to RBF and multi-layer network and the best network selection will be done on the basis of minimum time taken by the network for training.