Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction.
Sven F. CroneNikolaos KourentzesPublished in: IJCNN (2010)
Keyphrases
- multilayer perceptron
- support vector regression
- neural network
- neural network model
- artificial neural networks
- back propagation
- radial basis function
- hidden layer
- support vector
- back propagation neural network
- hybrid model
- recurrent neural networks
- response surface methodology
- activation function
- load forecasting
- backpropagation algorithm
- support vector machine svm
- regression model
- support vector classification
- extreme learning machine
- probabilistic neural networks
- modular neural network
- wavelet neural network
- autoregressive conditional heteroscedasticity
- kernel function
- pattern recognition
- multi layer perceptron
- support vector machine
- feed forward neural networks
- feed forward
- bp neural network
- rbf neural network
- genetic algorithm
- radial basis function neural network
- feedforward neural networks
- fault diagnosis
- training algorithm
- non stationary
- fuzzy logic
- ls svm
- multilayer neural network
- rbf network
- network architecture