{
"item_title" : "Classification and Learning Using Genetic Algorithms",
"item_author" : [" Sanghamitra Bandyopadhyay", "Sankar Kumar Pal "],
"item_description" : "This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. The book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.",
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Classification and Learning Using Genetic Algorithms : Applications in Bioinformatics and Web Intelligence
Overview
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. The book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.
This item is Non-Returnable
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Details
- ISBN-13: 9783642080548
- ISBN-10: 3642080545
- Publisher: Springer
- Publish Date: November 2010
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.03 pounds
- Page Count: 311
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