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Springer Computational Intelligence in Automotive Applications

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Description

Explore the evolving landscape of modern technology with Computational Intelligence in Automotive Applications, part of the Studies in Computational Intelligence series (Volume 132). This edited volume provides a representative sample of contemporary activities within the automotive sector, focusing on how computational intelligence (CI) addresses complex problems. Traditionally, CI is understood through methods like neural networks (NN), fuzzy logic, and evolutionary computation. This book moves beyond simple tool definitions to examine CI through the lens of the challenging problems it solves in the automotive industry. It serves as a valuable resource for those looking to understand how these computational methods are applied to real-world automotive challenges and the current debates surrounding the definition of CI itself.

Key Features

Part of the Studies in Computational Intelligence series, specifically volume 132 for academic and professional reference.

Covers essential CI methods including neural networks, fuzzy logic, and evolutionary computation.

Focuses on contemporary applications specifically tailored to the automotive industry.

Explores the shift from defining CI by its tools to defining it by the complex problems it solves.

Provides a representative sample of current research and activities in the field of automotive computational intelligence.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 May 2008
Listed Since
26 March 2008

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No barcode data available

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