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£114 today · previous high £114 · all-time low £108

Springer Hybrid Intelligent Systems: Analysis and Design - Springer

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Description

This comprehensive guide presents innovative methods for analysing and designing hybrid intelligent systems using soft computing techniques. The book explores how fuzzy logic, neural networks, and genetic algorithms combine to create powerful solutions across pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems leverage multiple soft computing paradigms to tackle complex, high-dimensional real-world problems that exceed the capabilities of single-method approaches. Part of the Studies in Fuzziness and Soft Computing series (Volume 208), this Springer publication provides essential theory and practical applications for researchers and practitioners developing advanced intelligent systems that integrate diverse computing methodologies for superior problem-solving performance.

Key Features

Hybrid Intelligent Systems covers soft computing paradigms including fuzzy logic, neural networks, and genetic algorithms for advanced system design.

The book addresses pattern recognition, time series prediction, intelligent control, and robotics applications using combined soft computing techniques.

Part of Springer's Studies in Fuzziness and Soft Computing series (Volume 208), offering peer-reviewed research on soft computing methods.

Focuses on analysis and design methodologies for hybrid systems that solve complex, high-dimensional problems in real-world applications.

Combines multiple computing paradigms to create powerful intelligent systems beyond single-technique approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
01 October 2010

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