Complex Valued Neural Networks Utilizing High Dimensional Parameters


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Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters


Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters

Author: Nitta, Tohru

language: en

Publisher: IGI Global

Release Date: 2009-02-28


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"This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.

Complex-valued Neural Networks


Complex-valued Neural Networks

Author: Tohru Nitta

language: en

Publisher:

Release Date: 2009


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Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are in fact useful, containing characteristics bringing about many significant applications.Complex-Valued Neural Network.

Complex-Valued Neural Networks


Complex-Valued Neural Networks

Author: Akira Hirose

language: en

Publisher: John Wiley & Sons

Release Date: 2013-05-08


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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 and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.