Neural networks for control and systems
著者
書誌事項
Neural networks for control and systems
（IEE control engineering series, 46）
P. Peregrinus on behalf of the Institution of Electrical Engineers, c1992
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内容説明・目次
内容説明
Presents an overview of the present state of neural network research and development, with particular reference to systems and control applications studies. Following an introduction to basic principles and design procedures, the text then covers advanced structures and applications.
目次
- Neural networks - an introduction, K. Warwick
- digital neural networks, A. Redgers and I. Aleksander
- a survey of neural networks for control, R. Zbikowski and P.J. Gawthrop
- control applications for feedforward networks, G. Lightbody et al
- comparative aspects of neural networks and fuzzy logic for real-time control, C.J. Harris
- studies in neural network-based control, K.J. Hunt and D. Sbarbaro
- artificial neural networks - methodologies and applications in process control, G.A. Montague et al
- selection of neural network structures - some approximation theory guidelines, J.C. Mason and P.C. Parks
- neural networks and system identification, S. Billings and S. Chen
- neural networks - case studies, R.J. Mitchell and J.M Bishop
- the importance of structure in neural networks, N. Dodd
- pitfalls in the application of neural networks for process control, C. Hall and R. Smith.
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