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Springer Computer and Information Science 2011: 364 Book

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Description

Expand your academic knowledge with Computer and Information Science 2011: 364, part of the prestigious Studies in Computational Intelligence series by Springer. This volume provides high-quality research and new developments within the rapidly evolving field of computational intelligence. This text is designed to cover essential theory, practical applications, and design methods. It serves as a valuable resource for those studying how computational intelligence is embedded within engineering, computer science, physics, and life sciences. Whether you are researching methodologies or looking for specific advancements in neural networks and connectionist systems, this book offers deep insights into the field. As part of a specialized series that includes monographs, lecture notes, and edited volumes, this publication is a reliable addition to any professional or academic library focused on AI and machine learning. It provides the technical depth required to understand the methodologies behind modern computational systems.

Key Features

Part of the Studies in Computational Intelligence series by Springer, ensuring high-quality research and academic standards.

Covers essential theory, design methods, and practical applications of computational intelligence.

Integrates computational intelligence concepts within engineering, computer science, physics, and life sciences.

Provides detailed information on neural networks, connectionist systems, and genetic algorithms.

Includes various formats such as monographs and lecture notes to support diverse learning needs.

Serves as a comprehensive resource for researchers and students in AI and machine learning.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 July 2013
Listed Since
07 June 2013

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No barcode data available

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