Impact of Hidden Weights Choice on Accuracy of MLP with Randomly Fixed Hidden Neurons for Regression Problems.
Marie-Christine SuhnerPhilippe ThomasPublished in: IJCCI (2017)
Keyphrases
- hidden neurons
- generalization ability
- regression problems
- training speed
- neural network
- artificial neural networks
- feedforward neural networks
- activation function
- input variables
- support vector machine
- cross validation
- linear regression
- learning algorithm
- genetic programming
- hidden layer
- support vector
- training process
- support vector machine svm
- neural network model
- bp neural network
- learning rate
- input space
- ensemble learning
- prediction accuracy
- back propagation
- hyperparameters
- random forests
- multilayer perceptron
- feed forward
- rbf neural network
- logistic regression
- variable selection
- neural nets
- model selection
- classification accuracy
- radial basis function
- machine learning