Table 3 The results of the developed methods during the training stage in the validity phase.

From: Application of swarm-based deep neural networks and ensemble models for reconstruction of specific conductance data

Scenario

Method

Statistical indices

Method

Scenario

Statistical indices

NRMSE

R2

NSE

IA

NRMSE

R2

NSE

IA

I

MLR

0.121

0.615

0.615

0.868

GMDH

I

0.116

0.651

0.651

0.884

II

0.09

0.735

0.735

0.918

II

0.091

0.731

0.731

0.916

III

0.103

0.729

0.729

0.917

III

0.088

0.804

0.804

0.943

IV

0.099

0.798

0.798

0.941

IV

0.085

0.852

0.852

0.958

V

0.127

0.558

0.558

0.841

V

0.118

0.619

0.619

0.871

Avg

0.108

0.687

0.687

0.897

Avg

0.1

0.731

0.731

0.914

I

MLPNN

0.08

0.833

0.833

0.953

NGMDH-TFWO

I

0.105

0.713

0.713

0.909

II

0.07

0.842

0.842

0.956

II

0.083

0.775

0.775

0.933

III

0.069

0.88

0.88

0.967

III

0.093

0.78

0.777

0.93

IV

0.059

0.928

0.928

0.981

IV

0.088

0.846

0.841

0.957

V

0.097

0.744

0.744

0.923

V

0.121

0.601

0.601

0.862

Avg

0.075

0.845

0.845

0.956

Avg

0.098

0.743

0.741

0.918

I

ANFIS

0.078

0.839

0.723

0.922

CART

I

0.04

0.959

0.959

0.989

II

0.072

0.83

0.464

0.876

II

0.034

0.963

0.963

0.99

III

0.07

0.874

0.824

0.949

III

0.03

0.976

0.976

0.994

IV

0.063

0.918

0.793

0.936

IV

0.015

0.995

0.995

0.999

V

0.101

0.725

0.52

0.857

V

0.046

0.941

0.941

0.985

Avg

0.0768

0.8372

0.6648

0.908

Avg

0.033

0.967

0.967

0.992

I

LSTM

0.117

0.644

0.715

0.92

RF

I

0.021

0.989

0.989

0.997

II

0.09

0.747

0.678

0.928

II

0.019

0.988

0.988

0.997

III

0.095

0.767

0.816

0.944

III

0.017

0.992

0.992

0.998

IV

0.084

0.855

0.722

0.913

IV

0.013

0.997

0.996

0.999

V

0.121

0.599

0.567

0.873

V

0.025

0.984

0.983

0.996

Avg

0.101

0.722

0.7

0.916

Avg

0.019

0.99

0.989

0.997

I

LSTM-TFWO

0.092

0.78

0.78

0.935

XGBoost

I

0.009

0.998

0.998

1

II

0.084

0.771

0.771

0.931

II

0.007

0.998

0.998

1

III

0.082

0.827

0.827

0.952

III

0.006

0.999

0.999

1

IV

0.07

0.9

0.9

0.973

IV

0.004

1

1

1

V

0.105

0.697

0.697

0.904

V

0.009

0.998

0.998

0.999

Avg

0.087

0.795

0.795

0.939

Avg

0.007

0.999

0.999

1