Highly Efficient Intelligent Learning Control for Manipulation Robots by Feedforward Neural Networks

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)51606-7 ◽

1995 ◽

Vol 28 (10) ◽

pp. 727-732

Author(s):

Duško Katić ◽

Miomir Vukobratović

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Learning Control ◽

Highly Efficient ◽

Manipulation Robots

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On-line learning control of autonomous underwater vehicles using feedforward neural networks

IEEE Journal of Oceanic Engineering ◽

10.1109/48.180299 ◽

1992 ◽

Vol 17 (4) ◽

pp. 308-319 ◽

Author(s):

K.P. Venugopal ◽

R. Sudhakar ◽

A.S. Pandya

Keyword(s):

Neural Networks ◽

Autonomous Underwater Vehicles ◽

Feedforward Neural Networks ◽

Learning Control ◽

Underwater Vehicles ◽

On Line ◽

On Line Learning

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Learning control algorithms for robot contact task using feedforward neural networks

Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots ◽

10.1109/iros.1995.525935 ◽

2002 ◽

Author(s):

D. Katic ◽

M. Vukobratovic

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Learning Control ◽

Control Algorithms

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Solving a Combinatorial Optimization Problem with Feedforward Neural Networks

1993 American Control Conference ◽

10.23919/acc.1993.4793106 ◽

1993 ◽

Author(s):

Xianzhong Cui ◽

Kang G. Shin

Keyword(s):

Neural Networks ◽

Combinatorial Optimization ◽

Optimization Problem ◽

Feedforward Neural Networks ◽

Combinatorial Optimization Problem

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Effect of inhibitory firing patterns on information transmission in feedforward neural networks

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865330 ◽

2019 ◽

Author(s):

Pengzhen Zhang ◽

Bin Deng ◽

Xinmeng Guo ◽

Jiang Wang ◽

Haitao Yu

Keyword(s):

Neural Networks ◽

Information Transmission ◽

Feedforward Neural Networks ◽

Firing Patterns

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Asymptotic Prediction Error Variance for Feedforward Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1310 ◽

2020 ◽

Vol 53 (2) ◽

pp. 1108-1113

Author(s):

Magnus Malmström ◽

Isaac Skog ◽

Daniel Axehill ◽

Fredrik Gustafsson

Keyword(s):

Neural Networks ◽

Prediction Error ◽

Feedforward Neural Networks ◽

Error Variance ◽

Prediction Error Variance

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Improved remote-sensing land cover identification using parameterized feedforward neural networks

Euro-Mediterranean Journal for Environmental Integration ◽

10.1007/s41207-020-00226-3 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Olfa Charfi Marrakchi

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Feedforward Neural Networks

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Iterative learning control-based tracking synchronization for linearly coupled reaction-diffusion neural networks with time delay and iteration-varying switching topology

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.02.026 ◽

2021 ◽

Vol 358 (7) ◽

pp. 3822-3846

Author(s):

Xingyu Zhou ◽

Haoping Wang ◽

Yang Tian ◽

Xisheng Dai

Keyword(s):

Neural Networks ◽

Iterative Learning Control ◽

Reaction Diffusion ◽

Learning Control ◽

Iterative Learning ◽

Switching Topology ◽

Coupled Reaction ◽

Tracking Synchronization

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Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2317 ◽

2020 ◽

Vol 53 (2) ◽

pp. 8181-8186

Author(s):

Haonan Chang ◽

Zhuo Xu ◽

Masayoshi Tomizuka

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Learning Control ◽

Control Policies ◽

Hierarchical Neural Networks

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A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks

Computers & Structures ◽

10.1016/j.compstruc.2021.106568 ◽

2021 ◽

Vol 252 ◽

pp. 106568

Author(s):

Long Viet Ho ◽

Duong Huong Nguyen ◽

Mohsen Mousavi ◽

Guido De Roeck ◽

Thanh Bui-Tien ◽

...

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Computational Intelligence ◽

Structural Damage ◽

Feedforward Neural Networks ◽

Structural Damage Detection ◽

Marine Predator ◽

Intelligence Approach

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A relaxation algorithm for estimating the domain of validity of feedforward neural networks

Neural Processing Letters ◽

10.1007/bf00420280 ◽

1996 ◽

Vol 3 (3) ◽

pp. 113-121 ◽

Author(s):

Marcello Pelillo

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Relaxation Algorithm ◽

Domain Of Validity

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