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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Detalles Bibliográficos
Otros Autores: Hirose, Akira, 1963- (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken : IEEE Press ©2013.
Colección:Wiley ebooks.
IEEE Press Series on Computational Intelligence.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b46154644*spi
Descripción
Sumario: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.
Descripción Física:1 recurso electrónico (310 páginas)
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.
ISBN:9781118590072
9781118590140