Journal of Control Science and Engineering / 2017 / Article / Tab 2

Research Article

Parameter Selection Method for Support Vector Regression Based on Adaptive Fusion of the Mixed Kernel Function

Table 2

Sensitive features parameters.

Quantity symbolCharacteristic index

T1Mean
T2Absolute average
T3Peak
T4Square root amplitude
T5Root mean square value
T6Variance
T7Crooked
T8Kurtosis factor
T9Waveform factor
T10Margin factor
T11Peak factor
T12Pulse factor

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