Prediction of chaotic time series by using ANNs, ANFIS and SVMs.
Ana Dalia Pano-AzucenaEsteban Tlelo-CuautleSheldon X.-D. TanPublished in: MOCAST (2018)
Keyphrases
- chaotic time series
- artificial neural networks
- neural network
- feed forward neural networks
- radial basis function
- rbf network
- mackey glass
- recurrent neural networks
- phase space
- short term
- support vector
- phase space reconstruction
- back propagation
- fuzzy inference system
- back propagation neural network
- multi layer perceptron
- long term
- dynamic behavior
- activation function
- input variables
- training algorithm
- multilayer perceptron
- feed forward
- feature selection
- neuro fuzzy
- training set
- knn
- fuzzy logic
- kernel function
- machine learning
- support vector machine
- support vector machine svm
- svm classifier
- hybrid model
- generalization ability
- function approximation
- neural network model
- fault diagnosis
- hidden layer
- multi layer
- state space
- chaotic systems
- neural nets
- feature space
- input output
- learning algorithm