Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks

Table 3

Results of multiple linear regression and artificial neural network models.

ANN model	Trained samples	Tested samples	Average RMS error	Training time	Finishing reason
Linear predictor	27	14	0.53	0:00:00	Auto-stopped
GRNN	27	14	0.27	0:00:00	Auto-stopped
MLFN 2 nodes	27	14	1.03	0:00:35	Auto-stopped
MLFN 3 nodes	27	14	1.58	0:01:07	Auto-stopped
MLFN 4 nodes	27	14	0.69	0:00:58	Auto-stopped
MLFN 5 nodes	27	14	0.38	0:00:38	Auto-stopped
MLFN 6 nodes	27	14	0.36	0:01:01	Auto-stopped
MLFN 7 nodes	27	14	0.50	0:01:19	Auto-stopped
MLFN 8 nodes	27	14	0.35	0:01:31	Auto-stopped
MLFN 9 nodes	27	14	1.48	0:01:48	Auto-stopped
MLFN 10 nodes	27	14	0.46	0:01:58	Auto-stopped
MLFN 11 nodes	27	14	0.38	0:02:22	Auto-stopped
MLFN 12 nodes	27	14	0.50	0:02:57	Auto-stopped