Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks
Michael SchmittPublished in: Electron. Colloquium Comput. Complex. (2000)
Keyphrases
- continuous functions
- activation function
- neural network
- lower bound
- vc dimension
- upper bound
- pattern recognition
- artificial neural networks
- objective function
- learning rate
- neural nets
- real valued
- back propagation
- feed forward
- fuzzy logic
- neural network model
- network architecture
- radial basis function
- hidden layer
- support vector machine
- image processing