Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction

Figure 3

Three synthetic data sets: (a) synthetic data set one with multiplicative noise , where is random noise whose mean is zero and variance is 0.1; (b) synthetic data set two with heterogeneous variant Gaussian noise, where noise with zero mean and the variance is 0.4 and 1.2, respectively on and ; (c) synthetic data set three is unbalanced data set, which distribute on the interval about data and , respectively, on and ; (d) the testing data set. The number of training samples and testing samples is 100.

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