Solid Recovery, Delignification, and Sugar Yield in LCB pretreatment using Machine Learning and TOPSIS

SCB pretreatment with varying NaOH conc, Temp, and time (based on CCD) maps to solid recovery, delignification, and sugar yield from the treated biomass. The dataset was augmented with Gaussian noise, and three different ML models were developed for three responses. Multi-objective optimization was adopted using GA - the pareto optimal solution was screened based on TOPSIS method.