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

<p>Three-dimensional surface curve on the interaction between three independent variables by RSM. Surface interaction curve between, (a) NB concentration versus pH, (b) NB concentration versus chromium concentration, and (c) pH versus chromium concentration.</p>

BioMed Research International

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Figure 3

Figure 3: Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated<i> Acinetobacter radioresistens</i> Strain NS-MIE from Agricultural Soil 

Figure 3 | 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 