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

利用人工神经网络（ANN）和响应面法（RSM）对从农业土壤中新分离的耐辐射不动杆菌NS-MIE菌株还原六价铬进行优化建模