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Springer Complex-Valued Neural Networks - Studies in Comp Intel

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Description

Expand your technical knowledge with Complex-Valued Neural Networks, part of the Studies in Computational Intelligence series by Springer. This monograph serves as a comprehensive guide for graduate and undergraduate students across various technical disciplines, including electrical engineering, informatics, control engineering, mechanics, robotics, and bioengineering. Rather than just presenting formulas, this book focuses on the fundamental concepts and ways of thinking required to master neural networks that utilize complex numbers. You will learn about the practical advantages of complex-valued systems and explore their origins to understand how they function in real-world scenarios. Through the use of detailed examples, the text answers essential questions regarding the development and application of these specialized networks. Whether you are studying advanced machine learning or applying computational intelligence to engineering problems, this book provides the foundational understanding needed to navigate the field of complex-valued neural networks.

Key Features

Designed for academic study in electrical engineering, informatics, control engineering, mechanics, robotics, and bioengineering.

Provides a deep dive into the basic concepts and specialized ways of thinking required for complex-valued neural networks.

Explains the practical advantages and origins of using complex numbers within neural network architectures.

Includes detailed examples to clarify the development and principal applications of these systems.

Part of the recognized Studies in Computational Intelligence series from Springer.

Product Specifications

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

Barcode

No barcode data available

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