“…Computer-based soft computing methods, such as support vector machine (SVM), particle swarm optimization (PSO), fuzzy logic (FL), fuzzy decision tree (FDT), artificial neural networks ( ), wavelet neural network (WNN), genetic algorithm ( ), adaptive neuro-fuzzy inference system (ANFIS), co-active neuro-fuzzy inference system (CANFIS), convolutional neural network (CNN), imperialist competitive algorithm ( ) and, recurrent neural network (RNN) have recently been advanced in research areas of scientific, engineering, technological, and industrial courses [ [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] ]. These state-of-the-art mathematical modeling tools can capture high dimensional complex data, recognize inherent highly complex links from input-output data, find optimum patterns, and forecast target parameters [ 24 ].…”