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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover Nome da Publicação: Ieee Transactions On Neural Networks remover
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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines

Le Ly, Daniel ; Chow, Paul

IEEE transactions on neural networks, 2010-11, Vol.21 (11), p.1780-1792

New York, NY: IEEE

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Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays
Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays
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Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays

SHAO CHENG TONG ; YONG MING LI ; ZHANG, Hua-Guang

IEEE transactions on neural networks, 2011-07, Vol.22 (7), p.1073-1086

New York, NY: IEEE

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3
Discriminative Semi-Supervised Feature Selection Via Manifold Regularization
Discriminative Semi-Supervised Feature Selection Via Manifold Regularization
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Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

Zenglin Xu ; King, Irwin ; Lyu, Michael Rung-Tsong ; Rong Jin

IEEE transactions on neural networks, 2010-07, Vol.21 (7), p.1033-1047

New York, NY: IEEE

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Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems
Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems
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Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems

Yan-Jun Liu ; Shao-Cheng Tong ; Wang, Dan ; Tie-Shan Li ; Chen, C. L. Philip

IEEE transactions on neural networks, 2011-08, Vol.22 (8), p.1328-1334

New York, NY: IEEE

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5
An Adaptive Multiobjective Approach to Evolving ART Architectures
An Adaptive Multiobjective Approach to Evolving ART Architectures
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An Adaptive Multiobjective Approach to Evolving ART Architectures

Kaylani, A. ; Georgiopoulos, M. ; Mollaghasemi, M. ; Anagnostopoulos, G.C. ; Sentelle, C. ; Mingyu Zhong

IEEE transactions on neural networks, 2010-04, Vol.21 (4), p.529-550

New York, NY: IEEE

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Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
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Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

IEEE transactions on neural networks, 2008-05, Vol.19 (5), p.855-873

New York, NY: IEEE

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7
Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays
Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays
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Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays

Yang, Rongni ; Zhang, Zexu ; Shi, Peng

IEEE transactions on neural networks, 2010-01, Vol.21 (1), p.169-175

New York, NY: IEEE

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8
Parallel Reservoir Computing Using Optical Amplifiers
Parallel Reservoir Computing Using Optical Amplifiers
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Parallel Reservoir Computing Using Optical Amplifiers

Vandoorne, K. ; Dambre, J. ; Verstraeten, D. ; Schrauwen, B. ; Bienstman, P.

IEEE transactions on neural networks, 2011-09, Vol.22 (9), p.1469-1481

New York, NY: IEEE

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9
Adaptive Tracking for Periodically Time-Varying and Nonlinearly Parameterized Systems Using Multilayer Neural Networks
Adaptive Tracking for Periodically Time-Varying and Nonlinearly Parameterized Systems Using Multilayer Neural Networks
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Adaptive Tracking for Periodically Time-Varying and Nonlinearly Parameterized Systems Using Multilayer Neural Networks

Chen, Weisheng ; Jiao, Licheng

IEEE transactions on neural networks, 2010-02, Vol.21 (2), p.345-351

New York, NY: IEEE

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A Study on SMO-Type Decomposition Methods for Support Vector Machines
A Study on SMO-Type Decomposition Methods for Support Vector Machines
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A Study on SMO-Type Decomposition Methods for Support Vector Machines

Chen, Pai-Hsuen ; Fan, Rong-En ; Lin, Chih-Jen

IEEE transactions on neural networks, 2006-07, Vol.17 (4), p.893-908

New York, NY: IEEE

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