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Keyword : recurrent neural networks

Transient Stability Enhancement of Power Systems by Lyapunov- Based Recurrent Neural Networks UPFC Controllers Chia-Chi CHU Hung-Chi TSAI Wei-Neng CHANG
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2008/09/01 Vol. E91-A No. 9 pp. 2497-2506 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications) Category: Control and Optimization Keyword: unified power flow controller (UPFC), FACTS, transient stability, Lyapunov functions, recurrent neural networks, back propagation,
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Group-Linking Method: A Unified Benchmark for Machine Learning with Recurrent Neural Network Tsungnan LIN C. Lee GILES
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2007/12/01 Vol. E90-A No. 12 pp. 2916-2929 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: recurrent neural networks, finite state machines, grammatical inference, NARX neural networks,
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Image Associative Memory by Recurrent Neural Subnetworks Wfadysfaw SKARBEK Andrzej CICHOCKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1996/10/20 Vol. E79-A No. 10 pp. 1638-1646 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications (NOLTA)) Category: Neural Nets and Human Being Keyword: recurrent neural networks, associative memory, image compression, fractals,
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Neural Learning of Chaotic System Behavior Gustavo DECO Bernd SCHÜRMANN
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1994/11/20 Vol. E77-A No. 11 pp. 1840-1845 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and Its Applications) Category: Neural Network and Its Applications Keyword: recurrent neural networks, chaotic dynamics, dynamical invariants,
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On the Multiuser Detection Using a Neural Network in Code-Division Multiple-Access Communications Teruyuki MIYAJIMA Takaaki HASEGAWA Misao HANEISHI
Publication: IEICE TRANSACTIONS on Communications Publication Date: 1993/08/20 Vol. E76-B No. 8 pp. 961-968 Type of Manuscript: Special Section PAPER (Special Issue on Spread Spectrum Techniques and Applications) Category: Keyword: recurrent neural networks, code-division multiple-access, near-far problem, optimum multiuser detection,
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