Convergence of a self-organizing stochastic neural network.
Olivier FrançoisJacques DemongeotThierry HervéPublished in: Neural Networks (1992)
Keyphrases
- neural network
- weight update
- stochastic approximation
- general regression neural networks
- back propagation
- artificial neural networks
- monte carlo
- convergence rate
- fuzzy logic
- multilayer perceptron
- training algorithm
- pattern recognition
- learning vector quantization
- recurrent neural networks
- adaptive learning rate
- network architecture
- stochastic optimization
- feed forward neural networks
- stochastic nature
- initial conditions
- fuzzy artmap
- stochastic model
- multi layer
- self organizing maps
- neural network is trained
- hybrid neural network
- multi layer perceptron
- backpropagation neural network
- hopfield neural network
- neural model
- fuzzy neural network
- convergence speed
- feed forward
- genetic algorithm