Universal Approximation Theorem for Interval Neural Networks.
Mark R. BakerRajendra B. PatilPublished in: Reliab. Comput. (1998)
Keyphrases
- neural network
- global exponential stability
- fuzzy logic
- artificial neural networks
- back propagation
- training algorithm
- pattern recognition
- closed form
- error bounds
- sufficient conditions
- competitive learning
- multi layer
- genetic algorithm
- hopfield neural network
- approximation error
- associative memory
- approximation algorithms
- fuzzy systems
- multi layer perceptron
- learning rules
- recurrent neural networks
- decision trees
- approximation schemes
- type fuzzy logic systems