Neural network applications in control
著者
書誌事項
Neural network applications in control
（IEE control engineering series, 53）
Institution of Electrical Engineers, c1995
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注記
Includes bibliographies and index
内容説明・目次
内容説明
Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.
The book introduces a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks, as well as the more usual multi-layer perception back-propagation networks. It begins by describing the basic principles and some essential design features, then goes on to examine in depth several application studies illustrating a range of advanced approaches to the topic.
目次
Chapter 1: Neural networks: an introduction
Chapter 2: Digital neural networks
Chapter 3: Fundamentals of neurocontrol: a survey
Chapter 4: Selection of neural network structures: some approximation theory guidelines
Chapter 5: Electric power and chemical process applications
Chapter 6: Studies in artificial neural network based control
Chapter 7: Applications of dynamic artificial neural networks in state estimation and nonlinear process control
Chapter 8: Speech, vision and colour applications
Chapter 9: Real-time drive control with neural networks
Chapter 10: Fuzzy-neural control in intensive-care blood pressure management
Chapter 11: Neural networks and system identification
Chapter 12: Neurofuzzy adaptive modelling and construction of nonlinear dynamical processes
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