Applied Artificial Higher Order Neural Networks for Control and Recognition (Advances in Computational Intelligence and Robotics)

ISBN 10: 1522500634 / ISBN 13: 9781522500636

Published by Information Science Reference, 2016

About this Item

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Bibliographic Details

Title: Applied Artificial Higher Order Neural ...

Publisher: Information Science Reference

Publication Date: 2016

Binding: Hardcover

Condition: New

About this title

Synopsis:

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless.

Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

About the Author:

Ming Zhang received a M.S. degree in information processing and a Ph.D. degree in the research area of computer vision from the East China Normal University, Shanghai, China, in 1982 and 1989, respectively. He held Postdoctoral Fellowships in artificial neural networks with the Shanghai Institute of Technical Physics, Chinese Academy of the Sciences in 1989 and the National Oceanic and Atmospheric Administration, USA National Research Council in 1991. He was a face recognition airport security system project manager and was a Ph.D. co-supervisor at the University of Wollongong, Australia in 1992. Since 1994, he has been a lecturer at the Monash University, Australia. From 1995 to 1999, he was a lecturer and a senior lecturer and a Ph.D. supervisor at the University of Western Sydney, Australia. He also held a Senior Research Associate Fellowship in artificial neural networks with the National Oceanic and Atmospheric Administration, USA National Research Council in 1999. Since 2000, he has been an associate professor at Christopher Newport University, VA, USA. He is currently a full Professor and a graduate student supervisor in computer science at the Christopher Newport University, VA, USA.