A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems.
María de los Angeles Hernandez M.Patricia MelinGerardo M. MendezOscar CastilloIsmael López-JuárezPublished in: Soft Comput. (2015)
Keyphrases
- takagi sugeno kang
- back propagation
- hybrid learning
- neuro fuzzy
- fuzzy model
- learning algorithm
- feed forward neural networks
- bp neural network
- artificial neural networks
- feed forward
- fuzzy inference system
- fuzzy neural network
- neural network
- fuzzy modeling
- training algorithm
- data mining
- fuzzy logic
- input output
- rbf network
- e learning
- higher education
- real time
- membership functions
- fuzzy rules
- neural nets
- support vector machine
- active learning
- levenberg marquardt
- hybrid models