Personal Information
Organização/Local de trabalho
Perth, Australia Australia
Cargo
Winthrop Professor, The University of Western Australia
Setor
Education
Sobre
Mohammed Bennamoun received his M.Sc. from Queen's University, Kingston, Canada in the area of Control Theory, and his PhD from Queen's /Q.U.T in Brisbane, Australia in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an Associate Lecturer. He is currently a Winthrop Professor. He served as the Head of the School of Computer Science and Software Engineering at The University of Western Australia (UWA) for five years (February 2007-March 2012). He served as the Director of a University Centre at QUT: The Space Centre for Satellite Navigation from 1998-2002.
He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edi...
Marcadores
bennamoun
artificial neural network
artificial neural networks
deep learning
optimization
search engine optimization
competitive neural networks
competition
neural computation
architecture
neurobiology
learning rules
classification
single layer perceptron
hopfield network
associative memory
multi-layer perceptron
back-propagation
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Personal Information
Organização/Local de trabalho
Perth, Australia Australia
Cargo
Winthrop Professor, The University of Western Australia
Setor
Education
Sobre
Mohammed Bennamoun received his M.Sc. from Queen's University, Kingston, Canada in the area of Control Theory, and his PhD from Queen's /Q.U.T in Brisbane, Australia in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an Associate Lecturer. He is currently a Winthrop Professor. He served as the Head of the School of Computer Science and Software Engineering at The University of Western Australia (UWA) for five years (February 2007-March 2012). He served as the Director of a University Centre at QUT: The Space Centre for Satellite Navigation from 1998-2002.
He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edi...
Marcadores
bennamoun
artificial neural network
artificial neural networks
deep learning
optimization
search engine optimization
competitive neural networks
competition
neural computation
architecture
neurobiology
learning rules
classification
single layer perceptron
hopfield network
associative memory
multi-layer perceptron
back-propagation
Ver mais