ANFIS |
adaptive-neuro fuzzy inference systems |
Bagging |
bootstrap aggregating |
BBN |
bayesian belief network |
BN |
bayesian network |
BPN |
back-propagation network |
CART |
classification and regression trees |
CHAID |
chi-square automatic interaction detector |
CNNs |
convolutional neural networks |
CP |
counter propagation |
DBM |
deep boltzmann machine |
DBN |
deep belief network |
DNN |
deep neural networks |
ELMs |
extreme learning machines |
EM |
expectation maximisation |
ENNs |
ensemble neural networks |
GNB |
gaussian naive bayes |
GRNN |
generalized regression neural network |
KNN |
k-nearest neighbor |
LDA |
linear discriminant analysis |
LS-SVM |
least squares-support vector machine |
LVQ |
learning vector quantization |
LWL |
locally weighted learning |
MARS |
multivariate adaptive regression splines |
MLP |
multi-layer perceptron |
MLR |
multiple linear regression |
MOG |
mixture of gaussians |
OLSR |
ordinary least squares regression |
PCA |
principal component analysis |
PLSR |
partial least squares regression |
RBFN |
radial basis function networks |
RF |
random forest |
SaE-ELM |
self adaptive evolutionary-extreme learning machine |
SKNs |
supervised kohonen networks |
SOMs |
self-organising maps |
SPA-SVM |
successive projection algorithm-support vector machine |
SVR |
support vector regression |