This digital document is an article from Journal of Computer Science, published by Science Publications on September 1, 2007. The length of the article is 4222 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Key words: Recurrent neural fuzzy paradigm, multi-step prediction, hybrid learning, material property testing
Citation Details
Title: Data-driven forecasting schemes: evaluation and applications.
Author: Josip, Jr. Vrbanek
Publication:Journal of Computer Science (Magazine/Journal)
Date: September 1, 2007
Publisher: Science Publications
Volume: 3 Issue: 9 Page: 747(7)
Distributed by Gale, a part of Cengage Learning
Data-driven forecasting schemes: evaluation and applications.: An article from: Journal of Computer Science
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Book Details
Author(s)Josip, Jr. Vrbanek, Wilson Wang
PublisherScience Publications
ISBN / ASINB001MZ0DFY
ISBN-13978B001MZ0DF1
MarketplaceUnited Kingdom 🇬🇧