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Springer Neural Information Processing: Research & Development - Volume 152

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Description

This comprehensive volume explores neural information processing through the lens of biological neural networks and practical artificial neural network applications. Part of the Studies in Fuzziness and Soft Computing series, this Springer publication presents a curated collection of recent research and development in the field. From investigations into biological brain function to engineering solutions using artificial neural networks, the book bridges theoretical understanding with real-world problem-solving approaches. Ideal for researchers, academics, and professionals in AI and machine learning, this volume documents the evolution of neural network models and their successful implementations across diverse domains since the resurgence of the field in the mid-1980s.

Key Features

Neural Information Processing volume 152 is part of the established Studies in Fuzziness and Soft Computing series published by Springer.

The book covers both biological neural network investigation and artificial neural network applications for solving real-world engineering problems.

Recent research and development contributions provide current insights into neural information processing advancements and methodologies.

Content explores neural network models developed since the field's reincarnation in the mid-1980s through contemporary applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
20 July 2012
Listed Since
17 July 2013

Barcode

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