Accelerated Gradient Learning Algorithm for Neural Network Weights Update.
Zeljko HocenskiMladen AntunovicDamir FilkoPublished in: KES (1) (2008)
Keyphrases
- neural network
- learning algorithm
- back propagation
- single hidden layer
- connection weights
- hidden neurons
- artificial neural networks
- neural network structure
- feedforward neural networks
- training algorithm
- learning rules
- weight update
- generalization ability
- feed forward neural networks
- hidden layer
- feed forward
- linear combination
- extreme learning machine
- weighted sum
- gradient vector
- bp algorithm
- learning rate
- reinforcement learning
- multilayer perceptron
- neural network model
- self organizing maps
- learning problems
- training data
- learning process
- rbf network
- data sets
- pattern recognition
- nearest neighbour
- activation function
- relative importance
- learning scheme
- machine learning algorithms
- genetic algorithm
- recurrent neural networks
- bp neural network
- neural nets
- active learning
- fuzzy logic
- neural model
- image gradient
- labeled data
- edge detection
- learning models
- supervised learning
- training samples
- gradient direction
- fuzzy artmap
- multi layer
- fault diagnosis
- fuzzy neural network
- support vector
- prediction model
- training examples