trainlin01.txt

应用PSO训练神经网络Visual C++ 训练结果优于BP,该方法用于模式识别、知识挖掘等

avrfitval =9.4169  gbest =0
bestfitval =11.6177  times = 1
avrfitval =9.12864  gbest =5
bestfitval =6.20876  times = 11
avrfitval =8.75204  gbest =1
bestfitval =5.59223  times = 21
avrfitval =8.32067  gbest =6
bestfitval =5.24368  times = 31
avrfitval =6.46857  gbest =19
bestfitval =3.64659  times = 41
avrfitval =6.3936  gbest =19
bestfitval =3.64659  times = 51
avrfitval =5.96923  gbest =18
bestfitval =3.08811  times = 61
avrfitval =4.64645  gbest =14
bestfitval =2.19593  times = 71
avrfitval =4.80095  gbest =14
bestfitval =2.19593  times = 81
avrfitval =4.48206  gbest =16
bestfitval =1.86149  times = 91
avrfitval =4.62578  gbest =10
bestfitval =1.55724  times = 101
avrfitval =4.58712  gbest =10
bestfitval =1.55724  times = 111
avrfitval =3.79402  gbest =13
bestfitval =1.491  times = 121
avrfitval =4.10479  gbest =13
bestfitval =1.491  times = 131
avrfitval =3.32824  gbest =13
bestfitval =1.491  times = 141
avrfitval =3.63746  gbest =5
bestfitval =1.3256  times = 151
avrfitval =3.68452  gbest =5
bestfitval =1.3256  times = 161
avrfitval =4.04634  gbest =5
bestfitval =1.3256  times = 171
avrfitval =3.66354  gbest =4
bestfitval =1.16741  times = 181
avrfitval =3.46943  gbest =13
bestfitval =1.01442  times = 191
avrfitval =3.18246  gbest =17
bestfitval =0.591469  times = 201
avrfitval =3.29625  gbest =17
bestfitval =0.591469  times = 211
avrfitval =3.14025  gbest =17
bestfitval =0.591469  times = 221
avrfitval =3.13007  gbest =16
bestfitval =0.564724  times = 231
avrfitval =2.68675  gbest =16
bestfitval =0.564724  times = 241
avrfitval =3.45683  gbest =16
bestfitval =0.420279  times = 251
avrfitval =2.74602  gbest =16
bestfitval =0.420279  times = 261
avrfitval =2.33516  gbest =16
bestfitval =0.420279  times = 271
avrfitval =2.51164  gbest =16
bestfitval =0.420279  times = 281
avrfitval =2.53692  gbest =2
bestfitval =0.303355  times = 291
avrfitval =2.77838  gbest =2
bestfitval =0.303355  times = 301
avrfitval =2.61414  gbest =2
bestfitval =0.303355  times = 311
avrfitval =3.16635  gbest =17
bestfitval =0.301267  times = 321
avrfitval =1.74893  gbest =17
bestfitval =0.301267  times = 331
avrfitval =1.81889  gbest =13
bestfitval =0.136113  times = 341
avrfitval =1.72127  gbest =13
bestfitval =0.136113  times = 351
avrfitval =1.83709  gbest =19
bestfitval =0.0944774  times = 361
avrfitval =1.40326  gbest =0
bestfitval =0.0602547  times = 371
avrfitval =1.16243  gbest =19
bestfitval =0.0290504  times = 381
avrfitval =1.19691  gbest =19
bestfitval =0.0290504  times = 391
avrfitval =1.20838  gbest =19
bestfitval =0.0290504  times = 401
avrfitval =1.34961  gbest =6
bestfitval =0.0258638  times = 411
avrfitval =1.48379  gbest =4
bestfitval =0.0211213  times = 421
avrfitval =1.35573  gbest =4
bestfitval =0.0211213  times = 431
avrfitval =1.00397  gbest =0
bestfitval =0.00831962  times = 441
avrfitval =0.780277  gbest =0
bestfitval =0.00831962  times = 451
avrfitval =0.773246  gbest =3
bestfitval =0.00570826  times = 461
avrfitval =0.68088  gbest =3
bestfitval =0.00570826  times = 471
avrfitval =0.646613  gbest =3
bestfitval =0.00570826  times = 481
avrfitval =0.355975  gbest =3
bestfitval =0.00570826  times = 491
avrfitval =0.569977  gbest =3
bestfitval =0.00570826  times = 501
avrfitval =0.531622  gbest =3
bestfitval =0.00570826  times = 511
avrfitval =0.762711  gbest =3
bestfitval =0.00570826  times = 521
avrfitval =0.933768  gbest =0
bestfitval =0.00500681  times = 531
avrfitval =0.490858  gbest =0
bestfitval =0.00500681  times = 541
avrfitval =0.4428  gbest =6
bestfitval =0.0047996  times = 551
avrfitval =0.703894  gbest =18
bestfitval =0.00373446  times = 561
avrfitval =0.633915  gbest =18
bestfitval =0.00373446  times = 571
avrfitval =0.70288  gbest =9
bestfitval =0.000944893  times = 581
avrfitval =0.389558  gbest =5
bestfitval =0.000757431  times = 591
avrfitval =0.597253  gbest =5
bestfitval =0.000757431  times = 601
avrfitval =0.470462  gbest =5
bestfitval =0.000757431  times = 611
avrfitval =0.55188  gbest =13
bestfitval =0.000489073  times = 621
avrfitval =0.405847  gbest =17
bestfitval =0.00046445  times = 631
avrfitval =0.506292  gbest =17
bestfitval =0.00046445  times = 641
avrfitval =0.555084  gbest =17
bestfitval =0.00046445  times = 651
avrfitval =0.516957  gbest =12
bestfitval =0.0003669  times = 661
avrfitval =0.377653  gbest =7
bestfitval =0.000226085  times = 671
avrfitval =0.657318  gbest =4
bestfitval =0.00013517  times = 681
avrfitval =1.04084  gbest =4
bestfitval =0.00013517  times = 691
avrfitval =0.772987  gbest =4
bestfitval =0.00013517  times = 701
avrfitval =1.18186  gbest =4
bestfitval =0.00013517  times = 711
avrfitval =0.393679  gbest =16
bestfitval =2.95949e-005  times = 721
avrfitval =0.124578  gbest =16
bestfitval =2.95949e-005  times = 731
avrfitval =0.471709  gbest =16
bestfitval =2.95949e-005  times = 741
avrfitval =0.121267  gbest =16
bestfitval =2.95949e-005  times = 751
avrfitval =0.363702  gbest =16
bestfitval =2.95949e-005  times = 761
avrfitval =0.430834  gbest =16
bestfitval =2.95949e-005  times = 771
0  wucha = 9.42199e-005
0  wucha = 6.09207e-005
0  wucha = 0.230362
0  wucha = 0.000113712
0  wucha = 0.0201822
0  wucha = 5.06868e-006
0  wucha = 1.88451e-006
0  wucha = 7.79672e-007
0  avr_wucha = 0.0125082