Prediction of environmental indicators in land leveling using artificial intelligence techniques

Chemical and Biological Technologies in Agriculture

Table 5 Selected ANN for prediction of labor energy (LE), fuel energy (FE)

Selected ANN for prediction of labor energy (LE)				Selected ANN for prediction of fuel energy (FE)
NTF	Network topology	RMSE	R ²	NTF	Network topology	RMSE	R ²
trainlm	8-3	0.0159	0.9990	trainlm	8-2-5	0.0206	0.9983
trainlm	4-9	0.0159	0.9990	trainlm	10-4-10	0.0224	0.9980
trainlm	2-7-6	0.0164	0.9989	trainlm	4-2	0.0238	0.9977
trainlm	7-10	0.0164	0.9989	trainlm	9-2-3	0.0241	0.9977
trainlm	5-3	0.0165	0.9989	trainlm	5-2-9	0.0248	0.9976
trainlm	9-5-6	0.0166	0.9989	trainlm	3-2	0.0253	0.9974
trainlm	6-2-3	0.0167	0.9989	trainlm	2-2-2	0.0269	0.9971
trainlm	7-2-3	0.0171	0.9988	trainlm	2-2	0.0271	0.9971
trainbr	3-2	0.0174	0.9988	trainbr	2-6	0.0279	0.9969
trainbr	10-7	0.0179	0.9987	trainlm	6-2-2	0.0310	0.9962
trainbr	4	0.0171	0.9988	trainbr	5	0.0249	0.9975
trainlm	2	0.0209	0.9982	trainlm	6	0.0255	0.9980
traincg	6	0.0217	0.9981	trainscg	11	0.0261	0.9973
trainrp	7	0.0254	0.9974	traingdx	3	0.0329	0.9957
traingdx	2	0.0298	0.9964