This digital document is an article from American Journal of Applied Sciences, published by Science Publications on November 1, 2008. The length of the article is 2456 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: Backpropagation, radial basis function, neural networks, maximum deflection, double layer grids
Citation Details
Title: Prediction of double layer grids' maximum deflection using neural network.(Report)
Author: Reza Kamyab Moghadas
Publication:American Journal of Applied Sciences (Magazine/Journal)
Date: November 1, 2008
Publisher: Science Publications
Volume: 5 Issue: 11 Page: 1429(4)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
Prediction of double layer grids' maximum deflection using neural network.(Report): An article from: American Journal of Applied Sciences
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Book Details
PublisherScience Publications
ISBN / ASINB001I1413W
ISBN-13978B001I14138
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸