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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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Hardware implementation of boolean neural networks
Hardware implementation of boolean neural networks
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
作者: Haycock, Robert York, Trevor UMIST Manchester United Kingdom
The paper describes an approach for implementing Boolean neural networks on silicon. The hardware is based on a custom designed Field Programmable Logic Device (FPLD) which integrates 'synapses' and 'neuro... 详细信息
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Integrated neural network incorporating a novel synapse design
Integrated neural network incorporating a novel synapse desi...
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
作者: Johnson, D.E. Marsland, J.S. Eccleston, W. Liverpool Univ Liverpool United Kingdom
A VLSI Implementation of an Artificial neural Network using a single n-channel MOS transistor per synapse is investigated. The simplicity of the design is achieved by using pulse width modulation to represent neural a... 详细信息
来源: 评论
Implementing neural networks in FPGAs
Implementing neural networks in FPGAs
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
作者: Yu, Xinsheng Dent, Don Univ of Luton Luton United Kingdom
The reconfigurability of certain field programmable gate arrays(FPGAs) has shown their advantage of flexibility in digital system design. With the availability of greater density and high speed of FPGAs, the ability t... 详细信息
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Family of VLSI neural processors for real-time applications
Family of VLSI neural processors for real-time applications
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Computing and control Division colloquium on Hardware Implementation of neural networks and Fuzzy Logic
作者: Bolouri, Hamid Morgan, Paul Univ of Hertfordshire United Kingdom
The competence of the HyperNet system was evaluated. In addition, an advanced path able to satisfy the standards of more complicated, extensive, real-time uses were discussed. The HyperNet system integrates probabilis... 详细信息
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neural networks in ballistocardiography (BCG) using FPGAs
Neural networks in ballistocardiography (BCG) using FPGAs
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Computing and control Division colloquium on Software Support and Cad Techniques for FPGAS (Field Programmable Gate Arrays)
作者: Yu, Xinsheng Dent, Don Univ of Luton Luton United Kingdom
Artificial neural networks have shown good capabilities in medical diagnostic applications. They offer the advantage that they are able to learn the representation by examples, which is of great benefit when the natur... 详细信息
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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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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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