DWT to classify automatically the placental tissues development: neural network approach.(Report): An article from: Journal of Computer Science
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This digital document is an article from Journal of Computer Science, published by Science Publications on June 1, 2010. The length of the article is 3870 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: Placenta, wavelet transform, neural network, MLP
Citation Details
Title: DWT to classify automatically the placental tissues development: neural network approach.(Report)
Author: Mohammad Ayache
Publication:Journal of Computer Science (Magazine/Journal)
Date: June 1, 2010
Publisher: Science Publications
Volume: 6 Issue: 6 Page: 612(7)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: Key words: Placenta, wavelet transform, neural network, MLP
Citation Details
Title: DWT to classify automatically the placental tissues development: neural network approach.(Report)
Author: Mohammad Ayache
Publication:Journal of Computer Science (Magazine/Journal)
Date: June 1, 2010
Publisher: Science Publications
Volume: 6 Issue: 6 Page: 612(7)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
