Connectionists: New book: Complex-Valued Neural Networks

[Akira Hirose]

===== New Book =====

Complex-Valued Neural Networks

Akira Hirose
2006, 176 p., 70 illus., 3 in colour, Hardcover
ISBN-10: 3-540-33456-4
ISBN-13: 978-3-540-33456-9

Full details, including sample chapter, at:
http://www.springer.com/east/home/default?SGWID=5-40356-22-165284615-0


About this book ==========================

This book is the first monograph ever on complex-valued neural networks, 
which lends itself to graduate and undergraduate courses in electrical 
engineering, informatics, control engineering, mechanics, robotics, 
bioengineering, and other relevant fields. It is useful for those 
beginning their studies, for instance, adaptive signal processing for 
highly functional sensing and imaging, control in unknown and changing 
environment, brainlike information processing, robotics inspired by 
human neural systems, and 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.


Table of contents ==========================

Part I Basic Ideas and Fundamentals: Why are complex-valued neural 
networks inevitable?
- Complex-valued neural networks fertilize electronics.
- Neural networks: The characteristic viewpoints.
- Complex-valued neural networks: Distinctive features.
- Constructions and dynamics of neural networks.
Part II Applications: How wide are the application fields?
- Land-surface classification with unevenness and reflectance taken into 
consideration.
- Adaptive radar system to visualize antipersonnel plastic landmines.
- Removal of phase singular points to create digital elevation map.
- Lightwave associative memory that memorizes and recalls information 
depending on optical-carrier frequency.
- Adaptive optical-phase equalizer.
- Developmental learning with behavioral-mode tuning by 
carrier-frequency modulation.
- Pitch-asynchronous overlap-add waveform-concatenation speech synthesis 
by optimizing phase spectrum in frequency domain.
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