Predictive capability evaluation of RSM and ANN models in adsorptive treatment of crystal violet dye simulated wastewater using activated carbon prepared from Raphia hookeri seeds

A comparative evaluation of the predictive capability of response surface methodology (RSM) and artificial neural network (ANN) in adsorptive treatment of dye simulated wastewater using acid activated Raphia hookeri seeds (AARHS) as adsorbent was investigated. FTIR spectrum and SEM displayed the functional groups and surface morphology of AARHS, respectively. A 24 central composite experimental design (CCD) and a three-layered (4:n:1)...