
Author: Kazushi Igawa
Edition:
Publisher: Thomson Gale
Binding: Digital
ISBN: B001167SFC
Category: Programming
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Discrimination-based artificial immune system: modeling the learning mechanism of self and non-self discrimination for classification.: An article from: Journal of Computer Science
This digital document is an article from Journal of Computer Science, published by Thomson Gale on April 1, 2007. Programming books Discrimination-based artificial immune system: modeling the learning mechanism of self and non-self discrimination for classification.: An article from pdf. The length of the article is 4485 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. Download books pdf via mediafire, 4shared, rapidshare.

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The length of the article is 4485 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.
From the author: Keywords: Artificial immune system, self and non-self discrimination, T cell, negative selection
Citation Details
Title: Discrimination-based artificial immune system: modeling the learning mechanism of self and non-self discrimination for classification.
Author: Kazushi Igawa
Publication: Journal of Computer Science (Magazine/Journal)
Date: April 1, 2007
Publisher: Thomson Gale
Volume: 3 Issue: 4 Page: 204(8)
Distributed by Thomson Gale Download free Discrimination-based artificial immune system: modeling the learning mechanism of self and non-self discrimination for classification.: An article from: Journal of Computer Science pdf
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