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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Xu, Bin ; Yang, Chenguang ; Shi, Zhongke

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

New York, NY: IEEE

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12
GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features
GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features
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GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features

Lee, Tai-Sung ; Cerutti, David S ; Mermelstein, Dan ; Lin, Charles ; LeGrand, Scott ; Giese, Timothy J ; Roitberg, Adrian ; Case, David A ; Walker, Ross C ; York, Darrin M

Journal of chemical information and modeling, 2018-10, Vol.58 (10), p.2043-2050 [Periódico revisado por pares]

United States: American Chemical Society

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13
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
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Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

Deng, Xiaogang ; Tian, Xuemin ; Chen, Sheng ; Harris, Chris J.

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.560-572

United States: IEEE

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14
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
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Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks

Modares, Hamidreza ; Lewis, Frank L. ; Naghibi-Sistani, Mohammad-Bagher

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1513-1525

New York, NY: IEEE

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15
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
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Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption

Li, Hongfei ; Li, Chuandong ; Ouyang, Deqiang ; Nguang, Sing Kiong

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1460-1473

United States: IEEE

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16
Hierarchical Deep Reinforcement Learning for Continuous Action Control
Hierarchical Deep Reinforcement Learning for Continuous Action Control
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Hierarchical Deep Reinforcement Learning for Continuous Action Control

Yang, Zhaoyang ; Merrick, Kathryn ; Jin, Lianwen ; Abbass, Hussein A.

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5174-5184

United States: IEEE

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17
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
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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18
Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations
Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations
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Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations

Cournia, Zoe ; Allen, Bryce ; Sherman, Woody

Journal of chemical information and modeling, 2017-12, Vol.57 (12), p.2911-2937 [Periódico revisado por pares]

United States: American Chemical Society

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19
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
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NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Aimar, Alessandro ; Mostafa, Hesham ; Calabrese, Enrico ; Rios-Navarro, Antonio ; Tapiador-Morales, Ricardo ; Lungu, Iulia-Alexandra ; Milde, Moritz B. ; Corradi, Federico ; Linares-Barranco, Alejandro ; Liu, Shih-Chii ; Delbruck, Tobi

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.644-656

United States: IEEE

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20
TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories
TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories
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TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories

Brehm, Martin ; Kirchner, Barbara

Journal of chemical information and modeling, 2011-08, Vol.51 (8), p.2007-2023 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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