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Flotation is a complex multifaceted process that is widely used for the separation of finely ground minerals.The theory of froth flotation is complex and is not completely understood.This fact has been brought many monitoring challenges in a coal processing plant.To solve those challenges,it is important to understand the effect of different parameters on the fine particle separation,and control flotation performance for a particular system.This study is going to indicate the effect of various parameters (particle characteristics and hydrodynamic conditions) on coal flotation responses (flotation rate constant and recovery) by different modeling techniques.A comprehensive coal flotation database was prepared for the statistical and soft computing methods.Statistical factors were used for variable selections.Results were in a good agreement with recent theoretical flotation investigations.Computational models accurately can estimate flotation rate constant and coal recovery (correlation coefficient 0.85,and 0.99,respectively).According to the results,it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control,and optimize parameters of coal flotation process.