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 9

Summary of active networks.

Model	Learning algorithm	Connection type	Transfer function output	Transfer function hidden	Training set R2	RSME	Testing set R2	RMSE
3-20-1	QP	MNFF	Tanh	Tanh	0.99945	0.626	0.99985	0.345
3-20-1	QP	MNFF	Tanh	Sigmoid	0.99345	0.826	0.92985	0.245
3-20-1	QP	MNFF	Tanh	Linear	0.99145	0.926	0.91985	0.545