Artificial Neural Network Modelling of Photodegradation in Suspension of Manganese Doped Zinc Oxide Nanoparticles under Visible-Light Irradiation

Table 1

The training, testing, and validation data sets of the effective variables and actual and models predication efficiency of m-cresol photodegradation by Mn doped ZnO NPs.

Run	Irradiation time	pH	Photocatalyst	m-cresol	Efficiency
					Actual	Predicted
Training data set
1	360	7.63	1.5	65	38.9	37.057
2	120	7.63	1.5	35	30.86	30.435
3	360	4	1.5	35	46.4	46.457
4	360	10	1.5	35	48.7	48.922
5	360	7.63	3	35	83.7	84.001
6	360	7.63	1.7	35	95	95.864
7	240	7.63	1.5	35	65.08	66.073
8	360	8.5	1.5	35	89.3	90.323
9	360	6	1.5	35	67.2	68.333
10	360	8	1.5	35	93.4	94.741
11	360	7.63	1	35	79.9	81.33
12	300	7.63	1.5	35	81.42	82.96
13	360	7.63	1.5	55	46.80	49.625
14	360	7.63	3.5	35	72.4	80.016
15	360	7.63	1.5	15	100	109.16
Testing data set
17	360	9	1.5	35	72.7	79.504
18	360	7.63	0.5	35	50.2	64.026
19	360	7.63	1.5	41	81.6	74.845
20	360	7.63	1.3	35	94.2	88.926
21	360	7.63	1.5	30	99.2	97.703
22	360	7.63	1.5	25	100	99.572
23	360	7.63	2.5	35	87.9	90.131
24	60	7.63	1.5	35	12.48	17.993
Validation data set
26	360	7.63	1.5	45	73.3	62.789
27	360	7.63	1.5	35	98.98	91.939
28	360	7.63	1.5	76	32.5	28.915
29	180	7.63	1.5	35	47.55	46.747
30	360	5	1.5	35	50.8	52.441
31	360	7.63	2	35	93.2	94.923