Cargando…

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-orga...

Descripción completa

Detalles Bibliográficos
Autor principal: Hirose, Akira
Lenguaje:eng
Publicado: Wiley-IEEE Press 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1619410
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 and