A simultaneous perturbation weak derivative estimator for stochastic neural networks.
Thomas FlynnFelisa J. Vázquez-AbadPublished in: Comput. Manag. Sci. (2019)
Keyphrases
- neural network
- pattern recognition
- least squares
- learning automata
- monte carlo
- fuzzy systems
- artificial neural networks
- hopfield neural network
- random sampling
- feed forward
- self organizing maps
- maximum likelihood
- stochastic nature
- perturbation method
- importance sampling
- estimation algorithm
- recurrent neural networks
- multi layer
- neural nets
- neural network model
- back propagation
- genetic algorithm
- network architecture
- maximum a posteriori
- fault diagnosis
- stochastic optimization
- stochastic programming
- variance reduction
- machine learning