Asymptotic optimality of competitive associative nets and its application to incremental learning of nonlinear functions.
Shuichi KurogiPublished in: Systems and Computers in Japan (2007)
Keyphrases
- incremental learning
- asymptotic optimality
- nonlinear functions
- rbf network
- asymptotically optimal
- input output
- cerebellar model articulation controller
- hidden units
- sufficient conditions
- neural network
- radial basis function
- nonlinear systems
- flowshop
- basis functions
- fuzzy neural network
- learning process
- semi supervised
- supervised learning
- artificial neural networks
- multilayer perceptron
- back propagation
- special case
- activation function
- genetic algorithm
- similarity measure
- search algorithm
- pairwise
- evolutionary algorithm
- hidden layer
- rbf neural network
- scheduling problem