£107.61

Springer Neuro-Fuzzy Architectures and Hybrid Learning Book

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Description

Explore the evolution of scientific progress through the lens of machine intelligence in Neuro-Fuzzy Architectures and Hybrid Learning. Published by Springer as part of the Studies in Fuzziness and Soft Computing series (Volume 85), this text examines the shift from traditional scientific domains like physics and biology toward a new era driven by high Machine IQ (MIQ). As the computer age advances, the quest for systems capable of performing diverse physical and mental tasks with minimal human intervention becomes a central focus of research. This book addresses these developments, providing a look into the structures and aims of modern science as it integrates fuzzy logic and neural networks. It is a valuable resource for those studying the transition from classical disciplines to the complex world of intelligent, autonomous systems. Whether you are researching the foundations of soft computing or the future of machine intelligence, this volume offers a specialized perspective on how modern technology is reshaping our perception of scientific evolution.

Key Features

Part of the Studies in Fuzziness and Soft Computing series, specifically volume 85.

Examines the transition from traditional scientific disciplines to machine intelligence driven research.

Focuses on the development of systems with high Machine IQ (MIQ) for autonomous task performance.

Provides insight into the evolving structure and aims of modern science in the computer age.

Covers the role of hybrid learning and neuro-fuzzy architectures in contemporary computing.

Product Specifications

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

Barcode

No barcode data available

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