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Springer New Learning Paradigms in Soft Computing - AI & Machine Learning

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Description

This Springer volume explores innovative learning paradigms shaped by soft computing methodologies, presenting advanced approaches to artificial intelligence and machine learning. The book examines how neural networks, fuzzy logic, rough sets, and evolutionary computations drive modern computational intelligence, offering researchers and practitioners insights into emerging techniques that extend beyond traditional algorithmic boundaries. Ideal for academic study and professional development in computer science and AI fields.

Key Features

Covers soft computing tools including neural networks, fuzzy logic, rough sets, and evolutionary computations for advanced machine learning applications.

Part of the established Studies in Fuzziness and Soft Computing series (Volume 84) published by Springer, providing peer-reviewed research.

Explores new learning paradigms triggered by soft computing techniques, offering fresh perspectives on artificial intelligence methodology.

Published by Springer and Physica-Verlag, ensuring rigorous academic standards and comprehensive coverage of contemporary AI developments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 December 2001
Listed Since
14 December 2006

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