Complex-valued neural networks advances and applications /

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organ...

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Bibliographic Details
Group Author: Hirose, Akira, 1963
Published:
Literature type: Electronic eBook
Language: English
Series: IEEE Press Series on Computational Intelligence
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118590072
Summary: Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron.
Carrier Form: 1 online resource (310 pages).
Bibliography: Includes bibliographical references and index.
ISBN: 9781118590072
1118590074
9781118590140
1118590147
Index Number: QA76
CLC: TP183