Macroscopic Rock Texture Image Classification Using a Hierarchical Neuro-Fuzzy Class Method

Table 6

Classification results obtained with NFHB-Class¹ (fixed selection strategy) and NFHB-Class² (adaptive selection strategy) methods, for macro rock classification of gneiss and basalt; diabase, and rhyolite; basalt, diabase, and rhyolite; and gneiss, basalt, diabase, and rhyolite.

Model	Database test	Correct percentage of training set	Correct percentage of validation set	Number of rules generated	Decomposition Rate	Order of the attributes used
NFHB-Class^1	Gneiss and basalt1	90.67%	88%	37	0.02	1, 5, 9
NFHB-Class^2		92%	86%	46	0.01
NFHB-Class^1	Gneiss and basalt2	96%	96%	53	0.007	4, 7, 10, 3, 2, 11, 8, 6, 12
NFHB-Class^2		92.67%	95.33%	22	0.02
NFHB-Class^1	Gneiss and basalt3	94.67%	90%	68	0.009	4, 7, 10, 2, 11, 5, 3, 1, 9, 8, 6, 12
NFHB-Class^2		98.67%	96.67%	68	0.008
NFHB-Class^1	Diabase and rhyolite1	70%	68.4%	29	0.02	5, 9, 1
NFHB-Class^2		79.6%	70.4%	83	0.008
NFHB-Class^1	Diabase and rhyolite2	81.6%	86%	22	0.02	6, 7, 8, 10, 11, 12, 2, 3,4
NFHB-Class^2		87.2%	86%	33	0.01
NFHB-Class^1	Diabase and rhyolite3	87.2%	85.2%	59	0.009	5, 7, 6, 8, 10, 9, 11, 12, 2, 1, 3, 4
NFHB-Class^2		86%	85.2%	25	0.03
NFHB-Class^1	Basalt, diabase, and rhyolite1	64.86%	61.43%	34	0.006	5, 9, 1
NFHB-Class^2		70.29%	60.86%	67	0.009
NFHB-Class^1	Basalt, diabase, and rhyolite2	84%	80.57%	77	0.008	6, 10, 7, 8, 2, 11, 3, 12, 4
NFHB-Class^2		84.29%	80.29%	33	0.005
NFHB-Class^1	Basalt, diabase, and rhyolite3	84.86%	80.57%	98	0.006	6, 10, 5, 7, 8, 9, 2, 11, 1, 3, 12, 4
NFHB-Class^2		83.14%	78.86%	50	0.006
NFHB-Class^1	Gneiss, basalt, diabase, and rhyolite1	54%	52.25%	55	0.004	5, 9, 1
NFHB-Class^2		57.25%	56.75%	51	0.003
NFHB-Class^1	Gneiss, basalt, diabase, and rhyolite2	77%	75.75%	105	0.007	6, 10, 7, 11, 12, 8, 2, 3, 4
NFHB-Class^2		83.75%	77.75%	79	0.006
NFHB-Class^1	Gneiss, basalt, diabase, and rhyolite3	75.75%	74.25%	92	0.008	6, 10, 5, 7, 8, 9, 2, 11, 1, 3, 12, 4
NFHB-Class^2		79.5%	74.5%	80	0.006