Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Acinetobacter radioresistens Strain NS-MIE from Agricultural Soil

Table 8

Learning data set for ANN modelling.

Run	NB conc. (g/L)	pH	Cr(VI) conc. (ppm)	Cr(VI) reduction (%)
1	6.5	7.5	50	63.5663
2	10	6.0	75	95.4913
3	6.5	6.75	75	71.7557
5	10	6.75	100	59.7617
6	3	6.0	75	55.6473
7	6.5	6.75	75	68.3594
9	10	6.75	50	86.5347
10	3	7.5	75	29.3827
12	3	6.75	50	57.1515
14	6.5	7.5	100	39.4539
15	6.5	6.75	75	69.8326
17	10	7.5	75	59.1438