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Springer Intelligent Computing Based on Chaos - Springer Studies Vol. 184

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Description

Explore the intersection of chaos theory and intelligent computing in this comprehensive volume from Springer's Studies in Computational Intelligence series. This book examines how chaotic systems, despite being deterministic without random elements, exhibit seemingly unpredictable behaviour with real-world applications across diverse fields. Discover how chaos manifests in natural phenomena including weather patterns, climate dynamics, satellite orbital mechanics, celestial magnetic field evolution, and ecological population growth, alongside laboratory observations in electrical circuits and laser systems. Ideal for researchers, academics, and professionals in artificial intelligence and machine learning seeking to understand the theoretical foundations and practical implementations of chaos-based computational methods.

Key Features

Part of Springer's Studies in Computational Intelligence series (Volume 184), offering peer-reviewed research on advanced computational approaches.

Covers deterministic chaotic systems that display random-like behaviour, bridging theoretical mathematics and practical computing applications.

Examines real-world chaotic phenomena from weather systems to satellite dynamics and ecological models, demonstrating broad applicability.

Includes laboratory-based chaos observations from electrical circuits and lasers, providing experimental context for computational intelligence.

Suitable for researchers and professionals in AI and machine learning developing algorithms based on chaos theory principles.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 June 2009
Listed Since
18 December 2008

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