Estimation, evaluation and forecast: time series and neural network

Ghassane Benrhmach; Abdelwahed Namir; Jamal Bouyaghroumni; Academic Editor: Youssef EL FOUTAYENI

Research Communication | Open Access
Volume 2019 | Communication ID 135

Estimation, evaluation and forecast: time series and neural network

Ghassane Benrhmach, Abdelwahed Namir, Jamal Bouyaghroumni

Academic Editor: Youssef EL FOUTAYENI

Received	Accepted	Published
Jan 29, 2019	Feb 26, 2019	Mar 01, 2019

Abstract: Time series prediction is a problem that has been addressed for many years. There are applications in different fields such as: finance, medicine, transport .... In this communication, we were interested in stochastic methods and methods derived from artificial learning: neural networks [1-2]. The article details some of the problems and techniques involved in setting up ANN (Artificial Neural Network) models for a forecast based on one and then several explanatory variables. The neural architecture considered is that of the multi-layer perceptron (MLP)[3]. The results were obtained by ...