Overview
- Latest research on Complex-valued Neural Networks
- 2nd enlarged and revised edition
- Written by a leading expert in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 400)
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About this book
This book is the second enlarged and revised edition of the first successful monograph on complex-valued neural networks (CVNNs) published in 2006, which lends itself to graduate and undergraduate courses in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering, and other relevant fields.
In the second edition the recent trends in CVNNs research are included, resulting in e.g. almost a doubled number of references. The parametron invented in 1954 is also referred to with discussion on analogy and disparity. Also various additional arguments on the advantages of the complex-valued neural networks enhancing the difference to real-valued neural networks are given in various sections.
The book is useful for those beginning their studies, for instance, in adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, robotics inspired by human neural systems, and brain-like information processing, as well as interdisciplinary studies to realize comfortable society. It is also helpful to those who carry out research and development regarding new products and services at companies. The author wrote this book hoping in particular that it provides the readers with meaningful hints to make good use of neural networks in fully practical applications. The book emphasizes basic ideas and ways of thinking. Why do we need to consider neural networks that deal with complex numbers? What advantages do the complex-valued neural networks have? What is the origin of the advantages? In what areas do they develop principal applications? This book answers these questions by describing details and examples, which will inspire the readers with new ideas.
The book is useful for those beginning their studies, for instance, in adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, roboticsinspired by human neural systems, and brain-like information processing, as well as interdisciplinary studies to realize comfortable society. It is also helpful to those who carry out research and development regarding new products and services at companies. The author wrote this book hoping in particular that it provides the readers with meaningful hints to make good use of neural networks in fully practical applications. The book emphasizes basic ideas and ways of thinking. Why do we need to consider neural networks that deal with complex numbers? What advantages do the complex-valued neural networks have? What is the origin of the advantages? In what areas do they develop principal applications? This book answers these questions by describing details and examples, which will inspire the readers with new ideas.
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Keywords
Table of contents (11 chapters)
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Basic Ideas and Fundamentals: Why are Complex-Valued Neural Networks Inevitable?
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Applications: How Wide Are the Application Fields?
Authors and Affiliations
Bibliographic Information
Book Title: Complex-Valued Neural Networks
Authors: Akira Hirose
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-27632-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-27631-6Published: 23 March 2012
Softcover ISBN: 978-3-642-43579-9Published: 16 April 2014
eBook ISBN: 978-3-642-27632-3Published: 22 March 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 2
Number of Pages: XVIII, 198
Additional Information: 2nd edition