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
大学図書館所蔵 全18件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
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
「Nielsen BookData」 より