Distributive Training can Improve Neural Network Performance based on RL-CNN Architecture.
Dmytro ProskurinSergiy GnatyukMadina BauyrzhanPublished in: CPITS II (1) (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- reinforcement learning
- feed forward
- network architecture
- real time
- back propagation
- pattern recognition
- multi layer perceptron
- multi layer
- artificial neural networks
- supervised learning
- neural network training
- machine learning
- training phase
- training set
- management system
- markov decision processes
- fault diagnosis
- cellular neural networks
- neural architecture
- training patterns
- training examples
- neural network structure