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检索条件"任意字段=IEE Colloquium on Advances in Neural Networks for Control and Systems"
141 条 记 录,以下是91-100 订阅
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The feasibility of using MLP neural networks for system identification
The feasibility of using MLP neural networks for system iden...
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iee colloquium on neural networks for systems: Principles and Applications
作者: J.R. Chen P. Mars School of Engineering and Applied Science University of Durham UK
Recently, there has been considerable interest in the use of artificial neural networks for system identification and control. In this paper the authors discuss some constraints faced by using the Model-I and Model-II... 详细信息
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neural networks: problems and opportunities!
Neural networks: problems and opportunities!
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iee colloquium on neural networks: Design Techniques and Tools
作者: P.D. Noakes A.D.P. Green Neural Research Laboratory Department of Electronics Systems Engineering University of Essex Colchester UK
Artificial neural networks attempt to model the massively parallel structure and the learning capability offered by biological neural systems. They have been shown to offer significant advantages over conventional pro... 详细信息
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Artificial neural networks based relay algorithm for distribution system high impedance fault detection
Artificial neural networks based relay algorithm for distrib...
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Proceedings of the 1997 4th International Conference on advances in Power System control, Operation and Management. Part 1 (of 2)
作者: Snider, L.A. Shan, Yuen Yee Univ of Hong Kong Hong Kong Hong Kong
The paper presents a practical artificial neural network (ANN) based relay algorithm for electric distribution high impedance fault detection. The scheme utilizes the characteristics of high impedance faults (HIFs) in... 详细信息
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Connectionist representations and control structures
Connectionist representations and control structures
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iee colloquium on neural networks for systems: Principles and Applications
作者: D. Sbarbaro K.J. Hunt P.J. Gawthrop Dept. of Mech. Eng. Glasgow Univ. UK Department of Mechanical Engineering University of Glasgow Glasgow UK
Focuses on the use of adaptive connectionist networks for identification and control of nonlinear dynamic systems. control problems are usually solved using information about the controlled system and a series of proc... 详细信息
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The application of genetic algorithms to the optimal selection of parameter values in neural networks for attitude control systems
The application of genetic algorithms to the optimal selecti...
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iee colloquium on High Accuracy Platform control in Space
作者: G.W. Game C.D. James Guidance and Control Department British Aerospace Space Systems Limited Bristol UK
Spacecraft attitude control is conventionally achieved by the use of reaction wheel or thruster based control schemes. The authors investigate the use of a neural network controller for a thruster based spacecraft att... 详细信息
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Enhanced power system control and management via intelligent substations
Enhanced power system control and management via intelligent...
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Proceedings of the 2nd International Conference on advances in Power System control, Operation & Management
作者: Booth, C. McDonald, J.R. Stewart, R.W. Univ of Strathclyde Glasgow United Kingdom
Traditionally, power system control and management functions have been performed in centralised locations, with unprocessed data being collected from several measuring points throughout the power system and returned t... 详细信息
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Application of neural computing techniques to learning support environments
Application of neural computing techniques to learning suppo...
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iee colloquium on neural Nets in Human-Computer Interaction
作者: L.J. Allinson N.M. Allinson Department of Psychology University of York York UK Department of Electronics University of York York UK
The application of neural network methods is demonstrated for the analysis of data obtained in a study of a hypertext system employed in computer assisted learning (CAL). The authors also discuss the future role of ne... 详细信息
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Mathematical and scale model platforms for ship guidance trials
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iee colloquium (Digest) 1996年 第42期 varpaging页
作者: Witt, N.A.J. Miller, K.M. Russell, M.P. Univ of Plymouth Plymouth United Kingdom
Non-linear techniques have been developed for the purpose of filtering navigational data and control of ships. Recently, research at the Institute of Marine Studies into ship control employed artificial intelligence i... 详细信息
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Autonomous vehicle identification, control and piloting through a new class of associative memory neural networks
Autonomous vehicle identification, control and piloting thro...
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iee colloquium on neural networks for systems: Principles and Applications
作者: C.J. Harris M. Brown Southampton Univ. UK
Addresses the use of a class of neural nets for the intelligent motion control and piloting of a variety of autonomous vehicles as part of an ESPRIT II mobile robotics project. Intelligent controllers are necessary in... 详细信息
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Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours
Forward-backward building blocks for evolving neural network...
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iee colloquium on neural and Fuzzy systems: Design, Hardware and Applications (Digest No: 1997/133)
作者: S.M. Lucas Department of Electronic Systems Engineering University of Essex Colchester UK
The paper describes the forward-backward module: a simple building block that allows the evolution of neural networks with intrinsic supervised learning ability. This expands the range of networks that can be efficien... 详细信息
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