Learning algorithms for feedforward networks based on finite samples.
Nageswara S. V. RaoVladimir A. ProtopopescuReinhold C. MannE. M. OblowS. Sitharama IyengarPublished in: IEEE Trans. Neural Networks (1996)
Keyphrases
- feed forward
- back propagation
- learning algorithm
- recurrent networks
- artificial neural networks
- neural network
- neural nets
- hidden layer
- neural architecture
- training samples
- recurrent neural networks
- spiking neurons
- data sets
- biologically plausible
- activation function
- machine learning algorithms
- feedforward neural networks
- learning problems
- training set
- multilayer perceptron
- machine learning
- spiking neural networks
- visual cortex
- adaptive neural
- learning tasks
- network structure
- fuzzy logic
- active learning
- social networks
- real time
- primate visual cortex
- training examples
- training data
- genetic algorithm