Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Beschreibung:

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinea. Bestandsnummer des Verkäufers 473965981

Diesen Artikel melden

Inhaltsangabe:

Über die Autorin bzw. den Autor: Ming Zhang received his M.S. degree in Information Processing and Ph.D. degree in the area of Computer Vision from East China Normal University, Shanghai, China, in 1982 and 1989, respectively. He held Postdoctoral Fellowships in artificial neural networks with the Chinese Academy of the Sciences from 1989 to 1991, and the USA National Research Council from 1991 to 1992. He worked as a project manager on face recognition for airport security system and Ph.D. co-supervisor at the University of Wollongong, Australia from 1992 to 1994. In 1994, he joined Monash University, Australia as a lecturer in the Computer Science department. From 1995 to 2000, he was a lecturer and then a senior lecturer and Ph.D. supervisor at the University of Western Sydney, Australia. He also held Senior Research Associate Fellowship in artificial neural networks with the USA National Research Council from 1999 to 2000. From 2000, he has been working as an associate professor and then, from 2008, as a full professor at the Christopher Newport University, Virginia, USA. He has published more than 100 papers in the top international journals and international conferences in the areas of face recognition, weather forecasting, financial data simulation by using artificial neural networks and artificial higher order neural networks.