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Complex-valued neural networks : advances and applications / edited by Akira Hirose.

Contributor(s): Hirose, Akira, 1963-.
Material type: materialTypeLabelBookSeries: IEEE series on computational intelligence: Publisher: Hoboken : Wiley, 2013Description: 1 online resource (310 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781118590072; 1118590074; 9781118590140; 1118590147.Subject(s): Neural networks (Computer science) | Computer science | Numbers, Complex | COMPUTERS -- Neural Networks | Neural networks (Computer science)Genre/Form: Electronic books.Additional physical formats: Print version:: Complex-valued neural networks.DDC classification: 006.3/2 | 006.32 Online resources: Wiley Online Library 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.
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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.

Includes bibliographical references and index.

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