Approximation capabilities of neural networks on unbounded domains.
Ming-Xi WangYang QuPublished in: Neural Networks (2022)
Keyphrases
- neural network
- application domains
- back propagation
- fuzzy logic
- approximation error
- pattern recognition
- artificial neural networks
- fault diagnosis
- network architecture
- activation function
- computational power
- efficient computation
- cross domain
- approximation algorithms
- neural network model
- error bounds
- closed form
- relative error
- queueing networks
- learning capabilities
- hopfield neural network
- neural network is trained
- greedy algorithm
- competitive advantage
- feed forward
- case study
- knowledge base
- decision making
- learning algorithm
- real world