Description: lsvm and knn elm
For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
For testing/prediction: elm_predict(TestingData_File)
OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File)
After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.
To Search:
File list (Check if you may need any files):
lsvm.m
KNN.pdf
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