WSVR-based fuzzy neural network with annealing robust algorithm for system identification
DOI10.1016/j.jfranklin.2012.02.006zbMath1254.93098OpenAlexW1999542849MaRDI QIDQ1926304
Publication date: 28 December 2012
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2012.02.006
fuzzy logicchaotic systemfuzzy neural network (FNN)wavelet kernel functionannealing robust learning algorithm (ARLA)compact support of wavelet functionsnumber of fuzzy rulesrobust algorithm for system integrationrobust learning capabilityself-learning ability of neural networkstwo nonlinear dynamic plantswavelet support vector regression (WSVR)WSVR-based fuzzy neural network
Fuzzy control/observation systems (93C42) Minimal systems representations (93B20) Identification in stochastic control theory (93E12)
Related Items (4)
Cites Work
- Unnamed Item
- Decentralized neural identification and control for uncertain nonlinear systems: application to planar robot
- Genetically optimized hybrid fuzzy set based polynomial neural networks
- Identification of MIMO systems using radial basis function networks with hybrid learning algorithm
- Interval regression analysis using support vector networks
- A compensation-based recurrent fuzzy neural network for dynamic system identification
- Orthonormal bases of compactly supported wavelets
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