Hankyong National University Reports Findings in Artificial Neural Networks [Application of response surface methodology and artificial neural network for the preparation of Fe-loaded biochar for enhanced Cr(VI) adsorption and its …]

摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Artificial Neural Networks is the subject of a report. According to news reporting from Anseong, South Korea, by NewsRx journalists, research stated, “In this study, we optimized and explored the effect of the conditions for synthesizing Fe-loaded food waste biochar (Fe@FWB) for Cr(VI) removal using the response surface methodology (RSM) and artificial neural network (ANN). The pyrolysis time, temperature, and Fe concentration were selected as the independent variables, and the Cr(VI) adsorption capacity of Fe@FWB was maximized.”