MATLAB Code of Artificial Neural Networks / working paper

Abstract

Neural networks are very appropriate at function fit problems. A neural network with enough features (called neurons) can fit any data with arbitrary accuracy. They are for the most part well-matched in focusing on non-linear questions. In view of the non-linear nature of real world events, neural networks are an effective runner for resolving the problem. This article provides a MATLAB code for numerically simulating Artificial Neural Networks Estimation. An example of corporate governance data (as input) linked to their Accounting and Market performance (as output) of 80 French publicly traded firms from 2000 to 2013 was introduced just to generate results. This article is written for the developers of MATLAB programming language. The code was written for flexibility so as to be easily modified to many other applications for educational purposes.