Efficient training algorithm for Takagi-Sugeno type neuro-fuzzy network

IEEE International Conference on Fuzzy Systems

Volumn 3, Issue , 2001, Pages 1367-1371

  Palit, Ajoy Kumar ^a   Babuşka, Robert ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Backpropagation algorithm; Jacobian matrix; Levenberg Marquardt algorithm; Neuro fuzzy network; Takagi Sugeno model

Indexed keywords

JACOBIAN MATRIX; LEVENBERG-MARQUARDT ALGORITHM; TAKAGI-SUGENO TYPE NEURO-FUZZY NETWORK; TRAINING ALGORITHM;

COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; INFERENCE ENGINES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA; MEMBERSHIP FUNCTIONS; NONLINEAR SYSTEMS;

FUZZY SETS;

EID: 0036349095     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1109/FUZZ.2001.1008912     Document Type: Article

References (5)

1. Back-propagation fuzzy system as nonlinear dynamic system identifiers
2. Forecasting chaotic time series using neuro-fuzzy approach
3. Training feedforward networks with the Marquardt algorithm
4. Structural optimization of neural networks for modeling
5. Similarity measures in fuzzy role base simplication