Theory and Applications of Neural Networks (Paperback)

J.G. Taylor

ISBN 10: 3540196501 / ISBN 13: 9783540196501

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1991

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Paperback. This volume contains the papers presented at the first British Neural Network Society Meeting (NMC '90) held at King's College London, on 18-20 April 1990. The meeting was sponsored by the London Mathematical Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the USA, Finland, Denmark, Germany and the UK. The first day was devoted to tutorials. Professor Stephen Grossberg (Boston University) was a guest speaker on the first day, giving a thorough introduction to his adaptive resonance theory of neural networks. Subsequent tutorials covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory and learning.On the final day, talks were given by Professor Kohonen (on self organizing maps), Professor Kurten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr. Mayes presented a paper on various models for amnesia. Subsequent tutorials on the first day covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9783540196501

Dati bibliografici

• Titolo: Theory and Applications of Neural Networks (Paperback)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Data di pubblicazione: 1991
• Lingua: Inglese
• ISBN 10: 3540196501
• ISBN 13: 9783540196501
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

This volume contains the papers presented at the first British Neural Network Society Meeting (NMC '90) held at King's College London, on 18-20 April 1990. The meeting was sponsored by the London Mathematical Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the USA, Finland, Denmark, Germany and the UK. The first day was devoted to tutorials. Professor Stephen Grossberg (Boston University) was a guest speaker on the first day, giving a thorough introduction to his adaptive resonance theory of neural networks. Subsequent tutorials covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory, and learning. On the final day, talks were given by Professor Kohonen (on self organising maps), Professor Kürten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr. Mayes presented a paper on various models for amnesia. The ordering of the papers in this volume is as they were given at the meeting and the editors have taken the opportunity to include a paper of their own which was not presented.

Contenuti

Invited Lecture.- Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning.- Tutorials.- Dynamical Systems and Artificial Neural Networks.- Neural Modelling.- Self-Organising Neural Maps and their Applications.- Contributed Papers.- The Application of Topological Mapping in the Study of Human Cerebral Tumours.- Reliable Memory from Unreliable Components.- Possible Strategies for Using Sleep to Improve Episodic Memory in the Face of Overlap.- Curvature-Driven Smoothing in Backpropagation Neural Networks.- A Spontaneously Growing Network for Unsupervised Learning.- Virtual Connectivity Through Structural Dissipation; Parallel Distributed Computation with Local Connectivity.- Temporally Processing Neural Networks for Morse Code Recognition.- Dynamics of Binary Networks with Extended Time-Summation.- Training Strategies for Probabilistic RAMs.- Computer Simulations of Recurrent Neural Nets for Temporal Recognition Problems.- Invited Papers.- Learning Vector Quantisation and the Self Organising Map.- Nature of the Functional Loss in Amnesia: Possible Role for a Highly Structured Neural Network.- Activity Patterns in Cortical Minicolumns.- Dynamics and Memory in Random and Structured Neural Networks.- Additional Paper (not given at conference).- Coupled Excitable Cells.