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检索条件"任意字段=Proceedings of the IEE Colloquium on Advances in Neural Networks for Control and Systems"
68 条 记 录,以下是51-60 订阅
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
Computing and Control Division Colloquium on Hardware Implem...
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
The proceedings contains 9 papers. Topics discussed include computer hardware, logic gates, neural networks, boolean algebra, integrated circuits and computer circuits.
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Adaptive three-phase autoreclosure for double-circuit transmission systems using neural networks
Adaptive three-phase autoreclosure for double-circuit transm...
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proceedings of the 2nd International Conference on advances in Power System control, Operation & Management
作者: Aggarwal, R.K. Song, Y.H. Johns, A.T. Univ of Bath Bath United Kingdom
The paper proposes a novel adaptive three-phase autoreclosure technique for double circuit systems using a neural network approach. Based on the investigation of digital simulation of various types of fault on such sy... 详细信息
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Co-ordinative control of excitation, fast valving and resistant braking using artificial neural network
Co-ordinative control of excitation, fast valving and resist...
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proceedings of the 2nd International Conference on advances in Power System control, Operation & Management
作者: Yong, Min Lin-cheng, Xiu Li, Zhang Qi-rong, Jiang Tsinghua Univ Beijing China
Quick-Response Excitation (QRE), Dynamic Resistance Braking (DRB) and Fast Valving (FV) are all the important measures to improve the stability of power systems. All the time it is a difficult problem to coordinate th... 详细信息
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Fault identification in HVDC systems with neural networks
Fault identification in HVDC systems with neural networks
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proceedings of the 2nd International Conference on advances in Power System control, Operation & Management
作者: Lai, L.L. Ndeh-Che, F. Chari, Tejedo City Univ United Kingdom
This paper describes a neural network and its simulation results for fault diagnosis in HVDC systems. Fault diagnosis is carried out by mapping input data patterns, which represent the behaviour of the system, to one ... 详细信息
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On interpolation memories for learning control
On interpolation memories for learning control
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iee colloquium on advances in neural networks for control and systems
作者: H. Tolle Institute of Control Engineering Department of Control systems Theory and Robotics Technical University of Darmstadt Darmstadt Germany
The paper deals with new developments of interpolating memories as the basic element of learning control and with their possible application. It discusses learning control, interpolating memories, characteristic manif... 详细信息
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Hierarchical competitive net architecture
Hierarchical competitive net architecture
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iee colloquium on advances in neural networks for control and systems
作者: T.W. Long E.L. Hanzevack Neuro Dyne Inc. Williamsburg VA USA University of Southern California USA
Hypersonic aircraft require a high degree of system integration. Design tools are needed that can provide rapid, accurate calculations of complex fluid flow. Existing methods are slow. The goal of this project was to ... 详细信息
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neural networks for control of industrial processes
Neural networks for control of industrial processes
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iee colloquium on advances in neural networks for control and systems
作者: B. Schurmann Corporate Research & Development Siemens AG Munchen Germany
In this contribution, neural concepts and methods for control an their use in industrial applications are discussed and illustrated. Even though there exist numerous conventional approaches for solving control tasks, ... 详细信息
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Comparison of gradient based training algorithms for multilayer perceptrons
Comparison of gradient based training algorithms for multila...
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iee colloquium on advances in neural networks for control and systems
作者: G. Irwin G. Lightbody S. McLoone Control Engineering Research Centre Department of Electrical and Electronic Engineering Queen''s University Belfast Belfast UK
The training speed of batch backpropagation using steepest descent, conjugate gradient and quasi-Newton algorithm for a feedforward neural network are compared. Results illustrating the advantages of the Hessian based... 详细信息
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Learning in neural networks and stochastic approximation methods with averaging
Learning in neural networks and stochastic approximation met...
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iee colloquium on advances in neural networks for control and systems
作者: P.S. Shcherbakov S.N. Tikhonov J.D. Mason K. Warwick Institute of Control Sciences RAS Moscow Russia Department of Cybernetics Reading University Reading UK
The problem of adjusting the weights (learning) in multilayer feedforward neural networks (NN) is known to be of a high importance when utilizing NN techniques in various practical applications. The learning procedure... 详细信息
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Data analysis by means of Kohonen feature maps for load forecast in power systems
Data analysis by means of Kohonen feature maps for load fore...
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iee colloquium on advances in neural networks for control and systems
作者: S. Heine I. Neumann Fachbereich Elektrotechnik Technische Hochschule Leipzig Leipzig Germany
Because of the clustering and dimensionality reduction abilities the Kohonen feature map (KFM) can be the preferable tool for deriving knowledge about dependencies of the load consumption in electrical energy systems ... 详细信息
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