Neural networks
著者
書誌事項
Neural networks
（Macmillan computer science series）
Macmillan Education, 1991
- 統一タイトル
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Des reseaux de neurones
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注記
Includes index
内容説明・目次
内容説明
The term "neural networks" is used to describe a number of different models intended to imitate some of the functions of the human brain, using certain of its basic structures. The authors aim to convey an intuitive and practical understanding of the topic and to provide the foundations necessary before undertaking further study. To this end, the first part of the book is devoted to a description of biological foundations. Biology is the source of study of neural networks and it seems probable that it will continue to provide a source of essential ideas. Following this introduction, a general model for neural networks is presented and a number of today's most important models are studied. Lastly, a number of real applications are discussed.
目次
Preface - Biological Foundations: components of the brain, functional principles - Neural Models: a synthetic neuron, structure of connections, state dynamics, connection dynamics, functioning of the models, the perceptron - From Single Layer to Multi Layer Neural Networks: associate networks and pattern recognition, single layer associative networks, back-propagation, development of the back-propagation model - Hopfield Model: content addressable memory, the model, use in optimisation problems, simulated annealing, the Boltzmann machine - Kohonen Model: a general model, self adaptive topological maps, adaptive filters, pattern recognition - Applications of Neural Networks: reasons for using neural networks, methodology, review of applications, radio communication application - Neural Computers: model for a general neurocomputer, commercial implementations, prototypes and prospects
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