Causal Method and Time Series Forecasting model based on Artificial Neural Network

This article discusses two methods of dealing with demand variability.First a causal method based on multiple regression and artificial neural networks have been used.The ANN is trained for different structures and the best is retained.Secondly a multilayer perceptron model for time series forecasting is proposed.Several learning rules used to adjust the ANN weights have been evaluated.The results…