A Proposed Algorithm For Multivariate Artificial Neural Network

Abstract

As some physiological presumptions of Brain Learning techniques led to develop Artificial Neural Network ( ANN ) to compete with the Brain's Natural learning phenomenon. Various Networks and Algorithms have been proposed to enhance the machine learning process and to achieve some thing new. In this paper we have proposed a moderate Algorithm for Multivariate Artificial Neural Network.

An Algorithm for Radial Basis Function Neural Networks

“…. the RBF neural network output is directly proportional to exponentially weighted sum of inputs and middle stage outcomes taken radially along with constraints λ and µ which may be suitably defined as per network configuration.Particularly when we choose µ = 0 in (2), we have (Z → Y) result proposed by author[10] for artificial neural network.…”