Prediction of environmental indicators in land leveling using artificial intelligence techniques

Chemical and Biological Technologies in Agriculture

Table 3 Calculated statistical criteria for prediction of labor energy using/fuel energy different combination of optimization methods and FIS types

Optimization method	FIS type	MSE			R ²
Optimization method	FIS type	Min.	Ave.	Max.	Min.	Ave.	Max.
Labor E.
Hybrid	Mamdani	0.00063	0.00130	0.00329	0.9856	0.9948	0.9971
Hybrid	Sugeno	0.00058	0.00126	0.00326	0.9865	0.9944	0.9974
Back propagation	Mamdani	0.00083	0.00102	0.00412	0.9831	0.9921	0.9965
Back propagation	Sugeno	0.00088	0.00154	0.00407	0.9831	0.9921	0.9964
Fuel E.
Hybrid	Mamdani	0.00119	0.00181	0.00371	0.9851	0.9927	0.9952
Hybrid	Sugeno	0.00111	0.00173	0.00390	0.9843	0.9922	0.9955
Back propagation	Mamdani	0.00119	0.00270	0.00560	0.9775	0.9891	0.9952
Back propagation	Sugeno	0.00123	0.00268	0.00560	0.9775	0.9892	0.9950