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Output Reachable Set Estimation and Verification for Multilayer Neural Networks
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
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Output Reachable Set Estimation and Verification for Multilayer Neural Networks

Xiang, Weiming ; Tran, Hoang-Dung ; Johnson, Taylor T.

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5777-5783

United States: IEEE

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Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning
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Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning

He, Wei ; Dong, Yiting

IEEE transaction on neural networks and learning systems, 2018-04, Vol.29 (4), p.1174-1186

United States: IEEE

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3
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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4
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
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A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

Wang, Tong ; Gao, Huijun ; Qiu, Jianbin

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.416-425

United States: IEEE

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5
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
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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6
Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
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Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning

Liu, Weirong ; Zhuang, Peng ; Liang, Hao ; Peng, Jun ; Huang, Zhiwu

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2192-2203

United States: IEEE

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7
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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8
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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9
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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10
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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