Forecasting river flow in the USA: a comparison between auto-regression and neural network non-parametric models

Authors:
Abdel Karim M. Baareh;Alaa F. Sheta;Khaled Al Khnaifes
Affiliations:
Computer Science Department, Al-Balqa Applied University, Ajlune College, Jordan;Information Technology Department, Al-Balqa Applied University, Al-Salt, Jordan;Mathematics Department, Damascus University, Damascus, Syria
Venue:
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2006

Citing 2
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Original Contribution: Forecasting the behavior of multivariate time series using neural networks

Neural Networks
Artificial neural networks and their business applications

Information and Management

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Abstract

A pure peer-to-peer method for (1) an efficient discovery of data in large distributed raw datasets and (2) collection of thus procured data is considered. It is based on ant colony optimization (ACO) and supports a user-specified extraction of structured ...