Training and Analysis of a Neural Network Model Algorithm

Abstract

An algorithm is a set of instruction pattern given in an analytical process of any program/function-ale to achieve desired results. It is a model-programmed action leading to a desired reaction. A neural network is a self-learning mining model algorithm, which aligns/ learns relative to the logic applied in initiation of primary codes of network. Neural network models are the most suitable models in any management system be it business forecast or weather forecast. The paper emphasizes not only on designing, functioning of neural network models but also on the prediction errors in the network associated at every step in the design and function-ale process.