Landslide Occurrence Prediction Using Trainable Cascade Forward Network and Multilayer Perceptron

Table 2

The training accuracy (%) and MSE for MLP and CFNN using the eleven learning algorithms with data set.

Network type	MLP				CFNN
Learning algorithm	Accuracy	MSE	Hidden nodes	Epoch	Accuracy	MSE	Hidden nodes	Epoch
LM	81.57	0.0910	82	22	82.89	0.0620	72	33
BFG	81.35	0.1150	60	191	79.68	0. 1326	68	152
Rpro	77.62	0.1535	52	274	77.73	0.1290	89	190
SCG	77.22	0.1548	81	178	77.19	0.1280	142	64
CGB	77.28	0.1534	80	147	78.14	0.1258	72	231
CGF	75.75	0.1625	31	134	76.76	0.1334	23	127
CGP	76.54	0.1578	55	144	76.28	0.1370	82	148
OSS	76.13	0.1624	49	168	74.98	0.1422	18	147
GD	71.23	0.1836	80	989	71.24	0.1607	82	968
GDX	72.34	0.1791	19	140	72.27	0.1590	25	122
GDM	71.15	0.1839	87	999	71.24	0.1606	89	977