Feasibility of implementation of intelligent simulation configurations based on data mining methodologies for prediction of tractor wheel slip

作     者：S.M.Shafaei M.Loghavi S.Kamgar 

作者机构：Department of Biosystems EngineeringSchool of AgricultureShiraz UniversityShiraz 71441-65186Iran 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2019年第6卷第2期

页      面：183-199页

核心收录：

学科分类：0907[农学-林学] 0908[农学-水产] 07[理学] 08[工学] 071102[理学-系统分析与集成] 0710[理学-生物学] 0711[理学-系统科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0905[农学-畜牧学] 0707[理学-海洋科学] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081103[工学-系统工程] 

主　　题：Forward speed Plowing depth Tractor driving mode Tillage operations Tractor tractive efficiency 

摘      要：This paper deals with implementation of intelligent simulation configurations for prediction of tractor wheel slip in tillage *** effects of numeral variables of forward speed(2,4,and 6 km/h)and plowing depth(10,20,and 30 cm),and nominal variable of tractor driving mode(two-wheel drive(2WD)and four-wheel drive(4WD))on tractor rear wheel slip were intelligently simulated utilizing data mining methodologies of artificial neural network(ANN)and adaptive neuro-fuzzy inference system(ANFIS).Neuro-fuzzy potential of the ANFIS simulation framework against neural ability of the ANN simulation framework was *** confirmed higher efficiency of the best configuration of the ANFIS simulation framework with satisfactory statistical performance criteria of coefficient of determination(0.981),root mean square error(1.124%),mean absolute percentage error(1.515%),and mean of absolute values of prediction residual errors(1.135%)than that of the ANN simulation *** perception obtained from the ANFIS simulation results demonstrated that the wheel slip increased nonlinearly with increment of forward speed and plowing depth,while it decreased as tractor driving mode changed from the 2WD to ***,the best configuration of the ANFIS based intelligent simulation framework implemented in this study can be used for further relevant studies of tractor rear wheel slip as a reference.