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Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
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Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective

Shuai Li ; Jinbo He ; Yangming Li ; Rafique, Muhammad Usman

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.415-426

United States: IEEE

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SCScore: Synthetic Complexity Learned from a Reaction Corpus
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SCScore: Synthetic Complexity Learned from a Reaction Corpus

Coley, Connor W ; Rogers, Luke ; Green, William H ; Jensen, Klavs F

Journal of chemical information and modeling, 2018-02, Vol.58 (2), p.252-261 [Periódico revisado por pares]

United States: American Chemical Society

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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network

Liu, Yu-Ting ; Lin, Yang-Yin ; Wu, Shang-Lin ; Chuang, Chun-Hsiang ; Lin, Chin-Teng

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.347-360

United States: IEEE

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Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors
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Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors

Yu, Jinpeng ; Shi, Peng ; Dong, Wenjie ; Chen, Bing ; Lin, Chong

IEEE transaction on neural networks and learning systems, 2015-03, Vol.26 (3), p.640-645

United States: IEEE

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5
Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model
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Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model

Yang, Chenguang ; Li, Zhijun ; Cui, Rongxin ; Xu, Bugong

IEEE transaction on neural networks and learning systems, 2014-11, Vol.25 (11), p.2004-2016

United States: IEEE

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6
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
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Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

Hirose, A. ; Yoshida, S.

IEEE transaction on neural networks and learning systems, 2012-04, Vol.23 (4), p.541-551

New York, NY: IEEE

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Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
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Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Li, Decai ; Han, Min ; Wang, Jun

IEEE transaction on neural networks and learning systems, 2012-05, Vol.23 (5), p.787-799

New York, NY: IEEE

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Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
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Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction

Chandra, Rohitash

IEEE transaction on neural networks and learning systems, 2015-12, Vol.26 (12), p.3123-3136

United States: IEEE

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9
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
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Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation

Soriano, Miguel C. ; Ortin, Silvia ; Keuninckx, Lars ; Appeltant, Lennert ; Danckaert, Jan ; Pesquera, Luis ; van der Sande, Guy

IEEE transaction on neural networks and learning systems, 2015-02, Vol.26 (2), p.388-393

United States: IEEE

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Toward Automatic Time-Series Forecasting Using Neural Networks
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Toward Automatic Time-Series Forecasting Using Neural Networks

Yan, Weizhong

IEEE transaction on neural networks and learning systems, 2012-07, Vol.23 (7), p.1028-1039

New York, NY: IEEE

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