Description: an on-line predictive control based on least
squares support vector machine (LS-SVM) is proposed. In order
to carry out on-line learning, the training data threshold is set
through discussing the theory of LS-SVM and the character of
control system
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libsvm-weights-3.20
...................\heart_scale.wgt
...................\COPYRIGHT
...................\svm-predict.c
...................\svm.cpp
...................\README
...................\README.weight
...................\Makefile.win
...................\svm.h
...................\heart_scale
...................\Makefile
...................\FAQ.html
...................\tools
...................\.....\README
...................\.....\checkdata.py
...................\.....\grid.py
...................\.....\easy.py
...................\.....\subset.py
...................\svm-scale.c
...................\svm-train.c
...................\svm.def
...................\python
...................\......\README
...................\......\README.weight
...................\......\Makefile
...................\......\svm.py
...................\......\svmutil.py
...................\matlab
...................\......\README
...................\......\README.weight
...................\......\svmpredict.c
...................\......\Makefile
...................\......\make.m
...................\......\svmtrain.c
...................\......\libsvmread.c
...................\......\libsvmwrite.c
...................\......\svm_model_matlab.h
...................\......\svm_model_matlab.c
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