Mathematical Problems in Engineering / 2018 / Article / Tab 3

Research Article

Fuzzy Weighted Least Squares Support Vector Regression with Data Reduction for Nonlinear System Modeling

Table 3

Comparison results of the selected different overlap factor for our approach are shown for Example 1, where represents the number of SRMs, L-T the computational time for constructing all SRMs, and the number of data points for each training subset.

The total training data points =501RMSERMSEL-T
=5(Training)(Testing)(second)

=1.51281591601601280.01460.01420.1875

=2.52681832661832670.20860.20810.3906

=7

=1.51011341341331011331330.01320.01290.2156

=2.51472152222221472152230.18750.18690.5103

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