Developing supervised models for estimating methylene blue removal by silver nanoparticles

Treatment of wastewater from synthetic constituents such as methylene blue (MB) which are extensively harmful to environment and human health is known as important issue in different industries. Also, implementing experiments to solve problems in engineering issues are highly time consuming and costly, so in the current work, the least square support vector machine (LSSVM) is coupled with two different evolutionary algorithms as particle swarm...