Table 7 Comparisons of ANN Models with different input data sets.

From: A hybrid technique to enhance the rainfall-runoff prediction of physical and data-driven model: a case study of Upper Narmada River Sub-basin, India

No. of Input parameters

Name of Input Parameters

ANN Model

Calibration

Validation

NSE %

R 2

%Bias

RSR

NSE %

R 2

%Bias

RSR

03

Rt; Tt; Qt−1

3-5-1

78.4

0.89

0.97

0.45

75.2

0.91

-5.65

0.49

04

Rt; Tt; Rht; Qt−1

4-7-1

78.5

0.89

2.79

0.46

74.7

0.86

-5.14

0.50

04

Rt; Tt; Wst; Qt−1

4-4-1

77.5

0.88

1.00

0.47

74.3

0.86

-3.38

0.57

04

Rt; Rt−1; Tt; Qt−1

4-8-1

81.5

0.91

1.01

0.43

79.3

0.84

-2.04

0.45

05

Rt; Rt−1; Tt; Wst; Rht

5-5-1

74.3

0.85

11.45

0.50

64

0.82

-10.63

0.59

05

Rt; Tt; Wst; Rht; Qt−1

5-7-1

83.3

0.91

1.31

0.40

74.1

0.88

-1.75

0.50

06

Rt; Tt; Wst; Rht; Qt−1; Qt−2

6-9-1

78.0

0.90

4.56

0.46

75.0

0.88

-2.12

0.49

06

Rt; Rt−1; Tt; Wst; Rht; Qt−1

6-8-1

82.8

0.91

0.94

0.41

75.3

0.87

-2.90

0.49

07

Rt; Rt−1; Rt−2; Tt; Wst; Rht; Qt−1

7-9-1

83.3

0.93

3.26

0.41

74.2

0.88

-1.38

0.51

08

Rt; Rt−1; Rt−2; Tt; Wst; Rht; Qt−1; Qt−2

8-16-1

83.0

0.91

3.92

0.41

77.8

0.87

1.97

0.47

  1. Where,
  2. Rt rainfall, Rt−1 rainfall one day before, Rt−2 rainfall two days before, Tt temperature
  3. Wst Wind speed, Rht relative humidity, Qt−1 runoff one day before, Qt−2 runoff two day before