A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification.
Chuan LiLuiz LedoMyriam Regattieri DelgadoMariela CerradaFannia PachecoDiego CabreraRené-Vinicio SánchezJosé Valente de OliveiraPublished in: Knowl. Based Syst. (2017)
Keyphrases
- parameter estimation
- fuzzy systems
- model selection
- maximum likelihood
- least squares
- fuzzy rules
- parameter estimation algorithm
- evolutionary computation
- em algorithm
- neural network
- markov random field
- neural fuzzy
- nonlinear systems
- pattern recognition
- computational intelligence
- random fields
- support vector machine
- expectation maximization
- class labels
- soft computing
- fuzzy model
- rule base
- neuro fuzzy systems
- probabilistic model
- machine learning
- generative model
- feature selection
- decision rules
- estimation problems
- artificial neural networks
- artificial intelligence
- classification algorithm
- error rate
- computer vision
- fuzzy control
- takagi sugeno
- intelligent systems
- bayesian networks