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Springer Intelligent System Design Based on Soft Computing Models

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Description

This comprehensive volume from Springer explores the foundational principles and practical applications of intelligent system design through soft computing methodologies. Part of the Studies in Computational Intelligence series (Volume 1223), this academic text examines how soft computing models enable the creation of adaptive, learning-based systems that can handle complex, real-world problems with incomplete or uncertain information. The book bridges theoretical concepts and implementation strategies, offering researchers, practitioners, and advanced students detailed insights into neural networks, fuzzy logic, evolutionary algorithms, and hybrid approaches that drive modern artificial intelligence and machine learning solutions.

Key Features

Volume 1223 in Springer's Studies in Computational Intelligence series, providing peer-reviewed research in computational intelligence and soft computing.

Covers soft computing models including neural networks, fuzzy systems, and evolutionary algorithms for building intelligent systems.

Addresses practical design methodologies for implementing soft computing approaches in real-world applications and problem-solving scenarios.

Written for researchers, academics, and professionals seeking advanced knowledge of adaptive intelligent system architecture and soft computing techniques.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 2025
Listed Since
21 May 2025

Barcode

No barcode data available

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