Table 4 Displacements prediction results of chaotic WA-Volterra, chaotic WA-SVM and single chaotic Volterra models for ZG85 ~ ZG88 of Shuping, G3 of Baijiabao and T1 of Xintan landslides.

From: Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model

GPS point

Prediction model

RMSE(mm)

MAPE(%)

ZG85

Chaotic WA-Volterra

19.13

0.45

Chaotic WA-SVM

23.89

0.56

Single chaotic Volterra

28.46

0.72

ZG86

Chaotic WA- Volterra

20.31

0.63

Chaotic WA- SVM

24.22

0.76

Single chaotic Volterra

29.67

0.83

ZG87

Chaotic WA- Volterra

6.32

0.86

Chaotic WA- SVM

8.17

0.93

Single chaotic Volterra

8.66

0.96

ZG88

Chaotic WA- Volterra

19.17

0.54

Chaotic WA- SVM

23.64

0.66

Single chaotic Volterra

26.48

0.75

G3

Chaotic WA- Volterra

7.88

1.59

Chaotic WA- SVM

9.57

1.72

Single chaotic Volterra

18.22

3.12

T1

Chaotic WA- Volterra

57.19

0.009

Chaotic WA- SVM

72.93

0.012

Single chaotic Volterra

116.92

0.016