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 10

Validation of the optimization values predicted by RSM and ANN.

Model	Algorithm	NB conc	pH	Chromate conc.	Predicted RSM/ANN
RSM	Desirability function	10.0	6.0	100.0	75.13
ANN	Genetic algorithm	10.0	6.0	60.17	96.26
	Rotation inherit optimization	10.0	6.0	60.18	96.26
	Particle swarm optimization	10.0	6.0	61.19	96.25