Complex-Valued Neural Networks
Published on 23. August 2006
Book
Hardback
XVI, 176 pages
978-3-540-33456-9 (ISBN)
Description
This monograph instructs graduate- and undergraduate-level students in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering on the concepts of complex-valued neural networks. Emphasizing basic concepts and ways of thinking about neural networks, the author focuses on neural networks that deal with complex numbers; the practical advantages of complex-valued neural networks, and their origins; the development of principal applications? The book uses detailed examples to answer these questions and more.
More details
Series
Edition
2006
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
2
67 s/w Abbildungen, 3 farbige Abbildungen, 2 s/w Tabellen
67 black & white illustrations, 3 colour illustrations, 2 black & white tables
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
497 gr
ISBN-13
978-3-540-33456-9 (9783540334569)
DOI
10.1007/978-3-540-33457-6
Schweitzer Classification
Other editions
New editions
Akira Hirose
Complex-Valued Neural Networks
Book
03/2012
2nd Edition
Springer
€160.49
Shipment within 7-9 days
Additional editions
Akira Hirose
Complex-Valued Neural Networks
Book
11/2010
Springer
€144.40
Article exhausted; check for reprint
Content
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.- 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.