New Developments in Neural Computing, - Hardcover

Taylor, J. G.

 
9780852741931: New Developments in Neural Computing,

Inhaltsangabe

Research in neural computing is advancing rapidly at present, with important developments being made constantly. In such a fast-moving field it is important for workers to have access to the most up-to-date results, and this book, containing new information from researchers from all over the world, fulfills that need. New Developments in Neural Computing comprises the proceedings of a workshop on neural computing held in London in April 1989. The book begins with four tutorials, intended for beginners in the field, giving an introduction to some of the major topics in neural computing. There follow fifteen contributed papers on a wide variety of topics of current interest, and four invited papers by acknowledged world experts in particular areas. Eduardo Caianello (Italy), one of the founding fathers of the subject, writes on synthesising nets made up of binary decision elements, John Daugman (USA) discusses visual coding and Gabor functions, Rolfe Eckmiller (Germany) covers visuo-motor control in robots and Patrick Gallinari (France) discusses feedforward nets and their learning rules. New Developments in Neural Computing presents the state of the art in neural net research, and so is an important book for anyone interested in the mathematics and physics of the brain, computer science, neurophysiology and brain science in general. It will also be of interest to undergraduate students studying this new field.

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Reseña del editor

Research in neural computing is advancing rapidly at present, with important developments being made constantly. In such a fast-moving field it is important for workers to have access to the most up-to-date results, and this book, containing new information from researchers from all over the world, fulfills that need. New Developments in Neural Computing comprises the proceedings of a workshop on neural computing held in London in April 1989. The book begins with four tutorials, intended for beginners in the field, giving an introduction to some of the major topics in neural computing. There follow fifteen contributed papers on a wide variety of topics of current interest, and four invited papers by acknowledged world experts in particular areas. Eduardo Caianello (Italy), one of the founding fathers of the subject, writes on synthesising nets made up of binary decision elements, John Daugman (USA) discusses visual coding and Gabor functions, Rolfe Eckmiller (Germany) covers visuo-motor control in robots and Patrick Gallinari (France) discusses feedforward nets and their learning rules. New Developments in Neural Computing presents the state of the art in neural net research, and so is an important book for anyone interested in the mathematics and physics of the brain, computer science, neurophysiology and brain science in general. It will also be of interest to undergraduate students studying this new field.

Reseña del editor

This volume consists of the proceedings of a conference on neural computing, held at King's College, London in April 1989 and sponsored by the British Institute of Physics and the London Mathematical Society. The papers present both introductory lectures, contributed research papers, and invited contributions from world experts, in order to provide a representative picture of the state of neural network research both in the UK and the rest of the world. The meeting brought to light distinct differences of view between the spin glass (statistical mechanics) community and the more biologically-oriented modellers. This was particularly clear with respect to the importance of the inclusion of detailed membrane and timing effects in neurons and between them. Topics covered included multi-layer perceptrons and their learning rules, the statistical-mechanical approach to neural networks, simulation languages and hardware, and the neuro-biological properties of living neural nets.

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