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Extreme Learning Machine (Types of activation functions (Hard limit,…
Extreme Learning Machine
linear problem
Pseudo inverse
factorization
LU decomposition
QR decomposition
Inverse matrix
Regularization
L-1 regularization
L-2 regularization
Elastic Net
Estimation of number of hidden neurons
L-1 regularization
Estimation of regularization parameter in case of
L-1 regularization
Cross Validation
proposed MRM
L-2 regularization
Cross validation
generalized cross validation
proposed MRM
Elastic Net
Cross Validation
Types of activation functions
Hard limit
radial basis function
Sine
triangular basis function
Sigmoid
Input Hidden Weight estimation
Random Initialization of weights
Evolutionary weight optimization