Table 5 Values of error functions of PFO, PSO and Elovich kinetic models of 3-Nph (Ci = 50, 100 and 250 mg/L) on CM-HC.

From: Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste

Ci (mg/L)

Model

Error functions

ARE

SSE

∆q (%)

χ2

EABS

RMSE

50

PFO

4.668

1.395

0.063

0.192

2.796

0.482

PSO

1.799

0.158

0.026

0.023

0.769

0.162

Elovich

6.743

1.456

0.070

0.183

3.198

0.493

100

PFO

6.090

7.255

0.073

0.512

7.040

1.100

PSO

2.184

0.925

0.027

0.069

2.479

0.393

Elovich

4.281

4.007

0.051

0.265

5.124

0.817

250

PFO

11.307

110.394

0.139

4.026

27.161

4.289

PSO

6.036

33.167

0.080

1.249

14.123

2.351

Elovich

2.438

6.573

0.031

0.200

5.966

1.047

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