A fast learning method for data-driven design of interval type-2 fuzzy logic system.
Chengdong LiGuiqing ZhangJianqiang YiFang ShangJunlong GaoPublished in: J. Intell. Fuzzy Syst. (2017)
Keyphrases
- data driven
- experimental evaluation
- prior knowledge
- significant improvement
- high accuracy
- unsupervised learning
- computational cost
- synthetic data
- learning process
- pairwise
- case study
- em algorithm
- neural network
- support vector machine
- clustering method
- support vector machine svm
- background knowledge
- learning tasks
- supervised learning
- data sets
- learning algorithm
- feature set
- dynamic programming
- cost function
- objective function
- training data
- neural nets
- learning scheme