An Artificial Neural Network Approach to Forecasting

R. Ahluwalia and S. Chidambaram (USA)

Keywords

Neural Networks, Back Propagation, Linear Regression

Abstract

Back propagation is the most widely used procedure to implement artificial neural networks. This paper describes a five-step (data input, data scaling, forward pass, backward pass, and output) procedure to implement the back propagation algorithm. An illustrative example is used to compare predictions from an artificial neural network model with predictions from a linear regression model.

Important Links:

• DOI:
• From Proceeding (403) Artificial Intelligence and Applications - 2003

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