bpweight.txt

人工神经网络基本模型：BP、ART、Hopfield、SOM

记录时间  2004-07-27 19:21:17

输入层至中间层的权值W[16][8]：
-0.458363	0.347397	-0.787866	0.552986	-1.214220	-0.262778	0.750618	0.047686	
-1.094248	0.791070	-0.952184	0.461760	1.495044	-0.564421	-0.445247	0.381161	
0.531962	0.273664	0.632709	1.021628	0.204829	-0.041275	-0.208456	0.386624	
0.315159	-1.000545	0.049440	0.528022	-1.201341	-0.310509	-0.493072	0.181418	
1.116331	-0.983698	-0.191901	0.613352	0.091545	0.266229	-0.893292	-0.693670	
-0.538927	0.481241	-0.938115	-1.162273	0.824959	0.066746	-0.118654	1.168370	
-0.863033	-0.289651	0.720878	0.234779	0.844600	0.196509	-0.310160	0.283853	
-0.667232	0.025915	0.513321	-0.836766	-1.156540	-0.390346	-0.135639	-0.088183	
0.048000	0.258710	0.750023	-0.563381	-0.294026	0.075977	0.999344	-0.180959	
-0.871275	-0.281946	1.199308	-1.313078	1.466454	-0.217451	0.859045	2.205008	
1.008788	-1.644715	1.572189	0.126822	-0.196147	0.620219	0.560663	0.591343	
-0.704281	-0.764026	-0.632588	-0.196426	-0.654206	0.739205	0.847484	-0.996475	
1.180908	0.041907	0.636005	-0.271502	0.012441	0.516664	0.878125	0.736610	
-0.027075	1.956308	-0.990421	-0.975679	-0.384098	-0.935639	0.772128	-1.302897	
0.914605	1.554140	-0.935726	0.728389	0.232118	-1.148356	-0.733627	-1.219367	
1.157592	0.269025	0.194342	0.201352	-0.451685	-0.149860	0.640324	-0.595706	

中间层至输出层的权值V[8][3]：
-0.241946	-1.770020	0.336964	
-4.748272	1.376143	0.802528	
1.889534	-0.957994	-1.648698	
-0.354778	-1.488389	0.647122	
-1.657405	2.651758	-2.679754	
0.520750	-0.664739	-1.346230	
-0.784119	-0.940338	-0.908720	
0.801879	1.850131	-3.802234	

中间层的阈值t1[8]：
-0.862063	0.092745	0.663405	-1.493744	0.328931	-0.890908	0.773845	-0.291956	

输出层的阈值t2[3]：
-2.105275	0.855229	-2.785486	

总学习回数=2979,误差=0.009996