A gradient aggregate asymptotical smoothing algorithm for training max-min fuzzy neural networks.
Yunlong LuWenyu LiBo YuPublished in: Neurocomputing (2019)
Keyphrases
- max min
- fuzzy neural network
- smoothing algorithm
- min max
- edge preserving
- fuzzy rules
- membership functions
- input output
- hill climbing
- neuro fuzzy
- fuzzy controller
- training set
- robust optimization
- neural network
- learning rate
- genetically optimized
- image flow
- velocity field
- random fields
- prediction model
- control strategy
- simulated annealing
- markov random field
- control system
- support vector
- computer vision