摘要：Summary Biosorption is supposed to be an economical process for the treatment of wastewater containing heavy metals like lead (II). In this research paper, the support vector regression (SVR) has been used to predict the sorption capacity of lead (II) ions with the independent input parameters being: initial lead ion concentration, pH, temperature and contact time. Tree fern, an agricultural by-product, has been employed as a low cost biosorbent. Comparison between multiple linear regression (MLR) and SVR-based models has been made using statistical parameters. It has been found that the SVR model is more accurate and generalized for prediction of the sorption capacity of lead (II) ions.
关键词：Heavy metals; Low cost biosorbent; Biosorption; Support vector regression (SVR);
