Development of a Recurrent Fuzzy CMAC With Adjustable Input Space Quantization and Self-Tuning Learning Rate for Control of a Dual-Axis Piezoelectric Actuated Micromotion Stage.
Chun-Ming WenMing-Yang ChengPublished in: IEEE Trans. Ind. Electron. (2013)
Keyphrases
- input space
- learning rate
- nonlinear systems
- cerebellar model articulation controller
- feature space
- input data
- convergence rate
- robot control
- kernel function
- dimensionality reduction
- neural network controller
- activation function
- high dimensional data
- convergence speed
- fuzzy rules
- learning algorithm
- low dimensional
- control scheme
- training set
- regression problems
- control system
- hidden layer
- data points
- control strategy
- pid controller
- high dimensional
- knn
- control method
- linear combination
- feed forward
- text classification
- machine learning
- class labels
- weight vector
- genetic programming
- output space
- image processing
- k nearest neighbor