Speeding up the training process of the MFNN by optimizing the hidden layers' outputs.
Mingsheng ZhaoYoushou WuXiaoqing DingPublished in: Neurocomputing (1996)
Keyphrases
- training process
- hidden layer
- neural network
- back propagation
- hidden nodes
- feedforward neural networks
- training algorithm
- feed forward
- learning rate
- neural network structure
- multilayer perceptron
- artificial neural networks
- training data
- feed forward neural networks
- activation function
- radial basis function
- recurrent neural networks
- rbf neural network
- latent variables
- neural nets
- number of hidden layers
- support vector machine
- bp neural network
- semi supervised
- learning process
- fuzzy neural network
- data mining
- restricted boltzmann machine
- machine learning
- data sets
- convergence rate
- training speed
- output layer
- genetic algorithm
- learning algorithm
- similarity measure
- knn
- fault diagnosis
- basis functions
- optimization method
- neural network model