An inverse POD-RBF network approach to parameter estimation in mechanics

Inverse Problems in Science and Engineering ◽

10.1080/17415977.2012.693080 ◽

2012 ◽

Vol 20 (5) ◽

pp. 749-767 ◽

Author(s):

Craig A. Rogers ◽

Alain J. Kassab ◽

Eduardo A. Divo ◽

Ziemowit Ostrowski ◽

Ryszard A. Bialecki

Keyword(s):

Parameter Estimation ◽

Network Approach ◽

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Study on sliding mode speed control with RBF network approach for PMSM drives

2009 IEEE International Conference on Control and Automation ◽

10.1109/icca.2009.5410490 ◽

2009 ◽

Author(s):

Li Yuan ◽

He Feng-you ◽

Gu Shan-mao

Keyword(s):

Sliding Mode ◽

Speed Control ◽

Network Approach ◽

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A RBF Network Approach for Function Approximation

2018 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2018.8812435 ◽

2018 ◽

Author(s):

Zan-Rong He ◽

Yan-Ting Lin ◽

Shie-Jue Lee ◽

Chih-Hung Wu

Keyword(s):

Function Approximation ◽

Network Approach ◽

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Adaptive RBF network for parameter estimation and stable air–fuel ratio control

Neural Networks ◽

10.1016/j.neunet.2007.10.006 ◽

2008 ◽

Vol 21 (1) ◽

pp. 102-112 ◽

Author(s):

Shiwei Wang ◽

D.L. Yu

Keyword(s):

Parameter Estimation ◽

Rbf Network ◽

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Impulsive Noise Parameter Estimation: A Deep CNN-LSTM Network Approach

10.1109/commnet52204.2021.9641904 ◽

2021 ◽

Author(s):

Alka Isac ◽

Bassant Selim ◽

Zeinab Sobhanigavgani ◽

Georges Kaddoum ◽

Mallik Tatipamula

Keyword(s):

Parameter Estimation ◽

Impulsive Noise ◽

Network Approach ◽

Noise Parameter ◽

Deep Cnn ◽

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A belief network approach to optimization and parameter estimation: application to resource and environmental management

Artificial Intelligence ◽

10.1016/s0004-3702(98)00010-1 ◽

1998 ◽

Vol 101 (1-2) ◽

pp. 135-163 ◽

Author(s):

Olli Vans

Keyword(s):

Environmental Management ◽

Parameter Estimation ◽

Network Approach ◽

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A Neural Network Approach for Robust Nonlinear Parameter Estimation in Presence of Unknown-But-Bounded Errors

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)39649-0 ◽

2000 ◽

Vol 33 (16) ◽

pp. 317-322

Author(s):

Ivan Nunes da Silva ◽

Andre Nunes de Souza ◽

Mario Eduardo Bordon

Keyword(s):

Neural Network ◽

Parameter Estimation ◽

Nonlinear Parameter ◽

Network Approach ◽

Neural Network Approach ◽

Nonlinear Parameter Estimation

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Study on Sliding Mode Speed Control with RBF Network Approach for Doubly-Fed Induction Motor

2009 International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2009.208 ◽

2009 ◽

Author(s):

Li Yuan ◽

He Feng-you ◽

Ye Zong-bin

Keyword(s):

Induction Motor ◽

Sliding Mode ◽

Speed Control ◽

Network Approach ◽

Rbf Network ◽

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A double neural network approach for the identification and parameter estimation of control chart patterns

International Journal of Quality Engineering and Technology ◽

10.1504/ijqet.2012.049681 ◽

2012 ◽

Vol 3 (2) ◽

pp. 124 ◽

Author(s):

Ahmed Shaban ◽

Mohamed A. Shalaby

Keyword(s):

Neural Network ◽

Parameter Estimation ◽

Control Chart ◽

Network Approach ◽

Neural Network Approach ◽

Control Chart Patterns ◽

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Risk Estimation in Spatial Disease Clusters: An RBF Network Approach

2012 11th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2012.233 ◽

2012 ◽

Author(s):

Fernanda C. Takahashi ◽

Ricardo H. C. Takahashi

Keyword(s):

Risk Estimation ◽

Network Approach ◽

Disease Clusters ◽

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An RBF Network Approach to Flatness Pattern Recognition Based on SVM Learning

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.259146 ◽

2006 ◽

Author(s):

Hai-tao He ◽

Nan Li

Keyword(s):

Pattern Recognition ◽

Network Approach ◽

Rbf Network ◽

Flatness Pattern Recognition

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