Neural network models : theory and projects
著者
書誌事項
Neural network models : theory and projects
Springer, c1997
2nd ed
- pbk.
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.
目次
1 Key concepts in neural networks.- 2 Backpropagation.- 3 Neurons in the Brain.- 4 The Fundamental System of Differential Equations.- 5 Synchronous and Discrete Networks.- 6 Linear Capacity.- 7 Capacity from a Signal to Noise Ratio.- 8 Neural Networks and Markov Chains.
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