Forecasting river flow in the USA: a comparison between Auto-Regression and neural network non-parametric models.: An article from: Journal of Computer Science Buy on Amazon
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Forecasting river flow in the USA: a comparison between Auto-Regression and neural network non-parametric models.: An article from: Journal of Computer Science

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Book Details
Publisher Thomson Gale
ISBN / ASIN B000MTFKP4
ISBN-13 978B000MTFKP2
Marketplace France 🇫🇷
Description
This digital document is an article from Journal of Computer Science, published by Thomson Gale on October 1, 2006. The length of the article is 2661 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Forecasting river flow in the USA: a comparison between Auto-Regression and neural network non-parametric models.
Author: Abdel karim M. Baareh
Publication:Journal of Computer Science (Magazine/Journal)
Date: October 1, 2006
Publisher: Thomson Gale
Volume: 2 Issue: 10 Page: 775(6)

Distributed by Thomson Gale
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