bdg_tdnn.pat

著名的神经网络工具箱

-0.9974 -0.89907 -0.17643 0.14484 -0.19219 -0.39525 -0.39027 -0.50279 -0.52801 -0.44417 
-0.56896 -0.61538 -0.52504 -0.35845 -0.47464 -0.60211 -0.81051 -0.71886 -0.06654 0.25131 
0.14066 0.24368 0.06906 0.07329 0.02413 0.11774 -0.14406 -0.20093 -0.32618 -0.14427 
-0.13005 -0.40233 -0.48948 -0.27632 0.03381 0.31953 0.23899 0.42496 0.43862 0.30066 
0.29289 0.39794 0.14099 -0.06556 -0.18441 0.11353 0.19284 -0.32401 -0.2044 -0.01732 
0.03187 0.30894 0.21427 0.42856 0.58487 0.44962 0.3656 0.48606 0.2749 0.037 
-0.09757 0.33161 0.20073 -0.22147 -0.12077 0.08937 0.02351 0.28881 0.17223 0.35201 
0.58743 0.50054 0.40082 0.52712 0.31595 0.06673 -0.0534 0.38245 0.10411 -0.17178 
-0.15172 0.07539 
# Output pattern 14:
0 1 0 
# Input pattern 15:
-0.12648 0.18051 -0.0902 -0.30877 -0.2725 -0.58455 -0.52144 -0.51385 -0.73523 -0.7078 
-0.84481 -0.60221 -0.7416 -0.93949 -0.9974 -0.89907 -0.17643 0.14484 -0.19219 -0.39525 
-0.39027 -0.50279 -0.52801 -0.44417 -0.56896 -0.61538 -0.52504 -0.35845 -0.47464 -0.60211 
-0.81051 -0.71886 -0.06654 0.25131 0.14066 0.24368 0.06906 0.07329 0.02413 0.11774 
-0.14406 -0.20093 -0.32618 -0.14427 -0.13005 -0.40233 -0.48948 -0.27632 0.03381 0.31953 
0.23899 0.42496 0.43862 0.30066 0.29289 0.39794 0.14099 -0.06556 -0.18441 0.11353 
0.19284 -0.32401 -0.2044 -0.01732 0.03187 0.30894 0.21427 0.42856 0.58487 0.44962 
0.3656 0.48606 0.2749 0.037 -0.09757 0.33161 0.20073 -0.22147 -0.12077 0.08937 
0.02351 0.28881 0.17223 0.35201 0.58743 0.50054 0.40082 0.52712 0.31595 0.06673 
-0.0534 0.38245 0.10411 -0.17178 -0.15172 0.07539 0.01691 0.27293 0.14997 0.25623 
0.57654 0.55814 0.4112 0.53555 0.28249 0.06596 -0.04973 0.35048 0.06611 -0.21585 
-0.25754 0.02992 
# Output pattern 15:
0 1 0 
# Input pattern 16:
-0.17643 0.14484 -0.19219 -0.39525 -0.39027 -0.50279 -0.52801 -0.44417 -0.56896 -0.61538 
-0.52504 -0.35845 -0.47464 -0.60211 -0.81051 -0.71886 -0.06654 0.25131 0.14066 0.24368 
0.06906 0.07329 0.02413 0.11774 -0.14406 -0.20093 -0.32618 -0.14427 -0.13005 -0.40233 
-0.48948 -0.27632 0.03381 0.31953 0.23899 0.42496 0.43862 0.30066 0.29289 0.39794 
0.14099 -0.06556 -0.18441 0.11353 0.19284 -0.32401 -0.2044 -0.01732 0.03187 0.30894 
0.21427 0.42856 0.58487 0.44962 0.3656 0.48606 0.2749 0.037 -0.09757 0.33161 
0.20073 -0.22147 -0.12077 0.08937 0.02351 0.28881 0.17223 0.35201 0.58743 0.50054 
0.40082 0.52712 0.31595 0.06673 -0.0534 0.38245 0.10411 -0.17178 -0.15172 0.07539 
0.01691 0.27293 0.14997 0.25623 0.57654 0.55814 0.4112 0.53555 0.28249 0.06596 
-0.04973 0.35048 0.06611 -0.21585 -0.25754 0.02992 -0.00276 0.2613 0.12716 0.282 
0.57522 0.53935 0.41104 0.52413 0.29135 0.05681 -0.01306 0.32228 -0.01616 -0.28924 
-0.25961 -0.02741 
# Output pattern 16:
0 1 0 
# Input pattern 17:
-0.06654 0.25131 0.14066 0.24368 0.06906 0.07329 0.02413 0.11774 -0.14406 -0.20093 
-0.32618 -0.14427 -0.13005 -0.40233 -0.48948 -0.27632 0.03381 0.31953 0.23899 0.42496 
0.43862 0.30066 0.29289 0.39794 0.14099 -0.06556 -0.18441 0.11353 0.19284 -0.32401 
-0.2044 -0.01732 0.03187 0.30894 0.21427 0.42856 0.58487 0.44962 0.3656 0.48606 
0.2749 0.037 -0.09757 0.33161 0.20073 -0.22147 -0.12077 0.08937 0.02351 0.28881 
0.17223 0.35201 0.58743 0.50054 0.40082 0.52712 0.31595 0.06673 -0.0534 0.38245 
0.10411 -0.17178 -0.15172 0.07539 0.01691 0.27293 0.14997 0.25623 0.57654 0.55814 
0.4112 0.53555 0.28249 0.06596 -0.04973 0.35048 0.06611 -0.21585 -0.25754 0.02992 
-0.00276 0.2613 0.12716 0.282 0.57522 0.53935 0.41104 0.52413 0.29135 0.05681 
-0.01306 0.32228 -0.01616 -0.28924 -0.25961 -0.02741 0.00998 0.26468 0.11685 0.25645 
0.55228 0.48208 0.37151 0.50516 0.34007 0.06526 0.02176 0.28513 -0.11853 -0.32658 
-0.24603 -0.10217 
# Output pattern 17:
0 1 0 
# Input pattern 18:
0.03381 0.31953 0.23899 0.42496 0.43862 0.30066 0.29289 0.39794 0.14099 -0.06556 
-0.18441 0.11353 0.19284 -0.32401 -0.2044 -0.01732 0.03187 0.30894 0.21427 0.42856 
0.58487 0.44962 0.3656 0.48606 0.2749 0.037 -0.09757 0.33161 0.20073 -0.22147 
-0.12077 0.08937 0.02351 0.28881 0.17223 0.35201 0.58743 0.50054 0.40082 0.52712 
0.31595 0.06673 -0.0534 0.38245 0.10411 -0.17178 -0.15172 0.07539 0.01691 0.27293 
0.14997 0.25623 0.57654 0.55814 0.4112 0.53555 0.28249 0.06596 -0.04973 0.35048 
0.06611 -0.21585 -0.25754 0.02992 -0.00276 0.2613 0.12716 0.282 0.57522 0.53935 
0.41104 0.52413 0.29135 0.05681 -0.01306 0.32228 -0.01616 -0.28924 -0.25961 -0.02741 
0.00998 0.26468 0.11685 0.25645 0.55228 0.48208 0.37151 0.50516 0.34007 0.06526 
0.02176 0.28513 -0.11853 -0.32658 -0.24603 -0.10217 0.0316 0.28633 0.13328 0.2853 
0.5117 0.391 0.30246 0.40272 0.38999 0.10215 0.07823 0.23679 -0.16543 -0.31351 
-0.2691 -0.05632 
# Output pattern 18:
0 1 0 
# Input pattern 19:
0.35447 0.93822 0.86375 0.42042 0.65496 0.70613 -0.05205 -0.27718 -0.5809 -0.66438 
-0.47501 -0.01209 -0.14462 0.03083 -0.59315 -0.50922 0.36119 0.85661 0.69246 0.09114 
0.42514 0.64559 -0.18691 -0.46886 -0.6292 -0.79478 -0.6323 -0.04985 -0.32547 -0.1924 
-0.75918 -0.66874 0.36349 0.83313 0.65717 -0.23233 0.04135 0.44037 0.06751 -0.59235 
-0.63561 -0.8834 -0.78978 -0.17103 -0.55226 -0.50371 -0.85869 -0.76357 0.38007 0.82885 
0.66509 0.01228 -0.19665 -0.03468 -0.06039 -0.515 -0.75939 -0.58876 -0.48998 -0.07732 
-0.34631 -0.45692 -0.58354 -0.53554 0.43264 0.94906 0.83342 0.22167 -0.08686 -0.08968 
-0.24084 -0.246 -0.54282 -0.37666 -0.26346 0.34723 -0.0604 -0.44889 -0.57697 -0.52647 
0.51192 0.99162 0.82182 0.42023 -0.07241 -0.07964 -0.21331 -0.11736 -0.34767 -0.25565 
-0.18397 0.53747 0.15278 -0.38426 -0.55886 -0.3804 0.52526 0.98002 0.84788 0.45874 
-0.08806 0.07094 0.10363 -0.05516 -0.32858 -0.19772 -0.12053 0.55497 0.1526 -0.29231 
-0.49993 -0.24621 
# Output pattern 19:
0 0 1 
# Input pattern 20:
0.36119 0.85661 0.69246 0.09114 0.42514 0.64559 -0.18691 -0.46886 -0.6292 -0.79478 
-0.6323 -0.04985 -0.32547 -0.1924 -0.75918 -0.66874 0.36349 0.83313 0.65717 -0.23233 
0.04135 0.44037 0.06751 -0.59235 -0.63561 -0.8834 -0.78978 -0.17103 -0.55226 -0.50371 
-0.85869 -0.76357 0.38007 0.82885 0.66509 0.01228 -0.19665 -0.03468 -0.06039 -0.515 
-0.75939 -0.58876 -0.48998 -0.07732 -0.34631 -0.45692 -0.58354 -0.53554 0.43264 0.94906 
0.83342 0.22167 -0.08686 -0.08968 -0.24084 -0.246 -0.54282 -0.37666 -0.26346 0.34723 
-0.0604 -0.44889 -0.57697 -0.52647 0.51192 0.99162 0.82182 0.42023 -0.07241 -0.07964 
-0.21331 -0.11736 -0.34767 -0.25565 -0.18397 0.53747 0.15278 -0.38426 -0.55886 -0.3804 
0.52526 0.98002 0.84788 0.45874 -0.08806 0.07094 0.10363 -0.05516 -0.32858 -0.19772 
-0.12053 0.55497 0.1526 -0.29231 -0.49993 -0.24621 0.5078 0.93625 0.87868 0.45421 
-0.06035 0.16119 0.24224 0.10784 -0.19083 -0.1811 -0.09101 0.58459 0.19168 -0.06046 
-0.46065 -0.28458 
# Output pattern 20:
0 0 1 
# Input pattern 21:
0.36349 0.83313 0.65717 -0.23233 0.04135 0.44037 0.06751 -0.59235 -0.63561 -0.8834 
-0.78978 -0.17103 -0.55226 -0.50371 -0.85869 -0.76357 0.38007 0.82885 0.66509 0.01228 
-0.19665 -0.03468 -0.06039 -0.515 -0.75939 -0.58876 -0.48998 -0.07732 -0.34631 -0.45692 
-0.58354 -0.53554 0.43264 0.94906 0.83342 0.22167 -0.08686 -0.08968 -0.24084 -0.246 
-0.54282 -0.37666 -0.26346 0.34723 -0.0604 -0.44889 -0.57697 -0.52647 0.51192 0.99162 
0.82182 0.42023 -0.07241 -0.07964 -0.21331 -0.11736 -0.34767 -0.25565 -0.18397 0.53747 
0.15278 -0.38426 -0.55886 -0.3804 0.52526 0.98002 0.84788 0.45874 -0.08806 0.07094 
0.10363 -0.05516 -0.32858 -0.19772 -0.12053 0.55497 0.1526 -0.29231 -0.49993 -0.24621 
0.5078 0.93625 0.87868 0.45421 -0.06035 0.16119 0.24224 0.10784 -0.19083 -0.1811 
-0.09101 0.58459 0.19168 -0.06046 -0.46065 -0.28458 0.49517 0.88814 0.85957 0.42715 
0.05484 0.17862 0.30041 0.26059 -0.21362 -0.23896 -0.09599 0.53763 0.07807 0.04209 
-0.44739 -0.37309 
# Output pattern 21:
0 0 1 
# Input pattern 22:
0.38007 0.82885 0.66509 0.01228 -0.19665 -0.03468 -0.06039 -0.515 -0.75939 -0.58876 
-0.48998 -0.07732 -0.34631 -0.45692 -0.58354 -0.53554 0.43264 0.94906 0.83342 0.22167 
-0.08686 -0.08968 -0.24084 -0.246 -0.54282 -0.37666 -0.26346 0.34723 -0.0604 -0.44889 
-0.57697 -0.52647 0.51192 0.99162 0.82182 0.42023 -0.07241 -0.07964 -0.21331 -0.11736 
-0.34767 -0.25565 -0.18397 0.53747 0.15278 -0.38426 -0.55886 -0.3804 0.52526 0.98002 
0.84788 0.45874 -0.08806 0.07094 0.10363 -0.05516 -0.32858 -0.19772 -0.12053 0.55497 
0.1526 -0.29231 -0.49993 -0.24621 0.5078 0.93625 0.87868 0.45421 -0.06035 0.16119 
0.24224 0.10784 -0.19083 -0.1811 -0.09101 0.58459 0.19168 -0.06046 -0.46065 -0.28458 
0.49517 0.88814 0.85957 0.42715 0.05484 0.17862 0.30041 0.26059 -0.21362 -0.23896 
-0.09599 0.53763 0.07807 0.04209 -0.44739 -0.37309 0.46819 0.84582 0.79566 0.31963 
0.13787 0.12035 0.29391 0.36173 -0.15935 -0.30125 -0.08719 0.315 -0.08343 0.03457 
-0.62885 -0.42557 
# Output pattern 22:
0 0 1 
# Input pattern 23:
0.43264 0.94906 0.83342 0.22167 -0.08686 -0.08968 -0.24084 -0.246 -0.54282 -0.37666 
-0.26346 0.34723 -0.0604 -0.44889 -0.57697 -0.52647 0.51192 0.99162 0.82182 0.42023 
-0.07241 -0.07964 -0.21331 -0.11736 -0.34767 -0.25565 -0.18397 0.53747 0.15278 -0.38426 
-0.55886 -0.3804 0.52526 0.98002 0.84788 0.45874 -0.08806 0.07094 0.10363 -0.05516 
-0.32858 -0.19772 -0.12053 0.55497 0.1526 -0.29231 -0.49993 -0.24621 0.5078 0.93625 
0.87868 0.45421 -0.06035 0.16119 0.24224 0.10784 -0.19083 -0.1811 -0.09101 0.58459 
0.19168 -0.06046 -0.46065 -0.28458 0.49517 0.88814 0.85957 0.42715 0.05484 0.17862 
0.30041 0.26059 -0.21362 -0.23896 -0.09599 0.53763 0.07807 0.04209 -0.44739 -0.37309 
0.46819 0.84582 0.79566 0.31963 0.13787 0.12035 0.29391 0.36173 -0.15935 -0.30125 
-0.08719 0.315 -0.08343 0.03457 -0.62885 -0.42557 0.4188 0.76012 0.7186 0.30703 
0.0593 0.05663 0.2382 0.33368 -0.10589 -0.35399 -0.17573 0.12023 -0.08403 0.08655 
-0.74284 -0.44776 
# Output pattern 23:
0 0 1 
# Input pattern 24:
0.51192 0.99162 0.82182 0.42023 -0.07241 -0.07964 -0.21331 -0.11736 -0.34767 -0.25565 
-0.18397 0.53747 0.15278 -0.38426 -0.55886 -0.3804 0.52526 0.98002 0.84788 0.45874 
-0.08806 0.07094 0.10363 -0.05516 -0.32858 -0.19772 -0.12053 0.55497 0.1526 -0.29231 
-0.49993 -0.24621 0.5078 0.93625 0.87868 0.45421 -0.06035 0.16119 0.24224 0.10784 
-0.19083 -0.1811 -0.09101 0.58459 0.19168 -0.06046 -0.46065 -0.28458 0.49517 0.88814 
0.85957 0.42715 0.05484 0.17862 0.30041 0.26059 -0.21362 -0.23896 -0.09599 0.53763 
0.07807 0.04209 -0.44739 -0.37309 0.46819 0.84582 0.79566 0.31963 0.13787 0.12035 
0.29391 0.36173 -0.15935 -0.30125 -0.08719 0.315 -0.08343 0.03457 -0.62885 -0.42557 
0.4188 0.76012 0.7186 0.30703 0.0593 0.05663 0.2382 0.33368 -0.10589 -0.35399 
-0.17573 0.12023 -0.08403 0.08655 -0.74284 -0.44776 0.37842 0.64414 0.6947 0.30729 
-0.09421 0.00147 0.14003 0.2771 -0.03067 -0.36553 -0.2085 0.02287 -0.02323 0.09924 
-0.78693 -0.42502 
# Output pattern 24:
0 0 1 
# Input pattern 25:
0.52526 0.98002 0.84788 0.45874 -0.08806 0.07094 0.10363 -0.05516 -0.32858 -0.19772 
-0.12053 0.55497 0.1526 -0.29231 -0.49993 -0.24621 0.5078 0.93625 0.87868 0.45421 
-0.06035 0.16119 0.24224 0.10784 -0.19083 -0.1811 -0.09101 0.58459 0.19168 -0.06046 
-0.46065 -0.28458 0.49517 0.88814 0.85957 0.42715 0.05484 0.17862 0.30041 0.26059 
-0.21362 -0.23896 -0.09599 0.53763 0.07807 0.04209 -0.44739 -0.37309 0.46819 0.84582 
0.79566 0.31963 0.13787 0.12035 0.29391 0.36173 -0.15935 -0.30125 -0.08719 0.315 
-0.08343 0.03457 -0.62885 -0.42557 0.4188 0.76012 0.7186 0.30703 0.0593 0.05663 
0.2382 0.33368 -0.10589 -0.35399 -0.17573 0.12023 -0.08403 0.08655 -0.74284 -0.44776 
0.37842 0.64414 0.6947 0.30729 -0.09421 0.00147 0.14003 0.2771 -0.03067 -0.36553 
-0.2085 0.02287 -0.02323 0.09924 -0.78693 -0.42502 0.32301 0.57392 0.64865 0.23976 
-0.22186 -0.07317 0.06065 0.28986 -0.014 -0.38473 -0.1917 0.00113 -0.04363 0.07226 
-0.79509 -0.40425 
# Output pattern 25:
0 0 1 
# Input pattern 26:
0.5078 0.93625 0.87868 0.45421 -0.06035 0.16119 0.24224 0.10784 -0.19083 -0.1811 
-0.09101 0.58459 0.19168 -0.06046 -0.46065 -0.28458 0.49517 0.88814 0.85957 0.42715 
0.05484 0.17862 0.30041 0.26059 -0.21362 -0.23896 -0.09599 0.53763 0.07807 0.04209 
-0.44739 -0.37309 0.46819 0.84582 0.79566 0.31963 0.13787 0.12035 0.29391 0.36173 
-0.15935 -0.30125 -0.08719 0.315 -0.08343 0.03457 -0.62885 -0.42557 0.4188 0.76012 
0.7186 0.30703 0.0593 0.05663 0.2382 0.33368 -0.10589 -0.35399 -0.17573 0.12023 
-0.08403 0.08655 -0.74284 -0.44776 0.37842 0.64414 0.6947 0.30729 -0.09421 0.00147 
0.14003 0.2771 -0.03067 -0.36553 -0.2085 0.02287 -0.02323 0.09924 -0.78693 -0.42502 
0.32301 0.57392 0.64865 0.23976 -0.22186 -0.07317 0.06065 0.28986 -0.014 -0.38473 
-0.1917 0.00113 -0.04363 0.07226 -0.79509 -0.40425 0.28277 0.55131 0.66818 0.12627 
-0.17642 -0.0783 0.0426 0.28598 -0.00017 -0.41352 -0.13956 0.01118 -0.12133 -0.07806 
-0.89187 -0.46226 
# Output pattern 26:
0 0 1 
# Input pattern 27:
0.49517 0.88814 0.85957 0.42715 0.05484 0.17862 0.30041 0.26059 -0.21362 -0.23896 
-0.09599 0.53763 0.07807 0.04209 -0.44739 -0.37309 0.46819 0.84582 0.79566 0.31963 
0.13787 0.12035 0.29391 0.36173 -0.15935 -0.30125 -0.08719 0.315 -0.08343 0.03457 
-0.62885 -0.42557 0.4188 0.76012 0.7186 0.30703 0.0593 0.05663 0.2382 0.33368 
-0.10589 -0.35399 -0.17573 0.12023 -0.08403 0.08655 -0.74284 -0.44776 0.37842 0.64414 
0.6947 0.30729 -0.09421 0.00147 0.14003 0.2771 -0.03067 -0.36553 -0.2085 0.02287 
-0.02323 0.09924 -0.78693 -0.42502 0.32301 0.57392 0.64865 0.23976 -0.22186 -0.07317 
0.06065 0.28986 -0.014 -0.38473 -0.1917 0.00113 -0.04363 0.07226 -0.79509 -0.40425 
0.28277 0.55131 0.66818 0.12627 -0.17642 -0.0783 0.0426 0.28598 -0.00017 -0.41352 
-0.13956 0.01118 -0.12133 -0.07806 -0.89187 -0.46226 0.2696 0.50568 0.63261 0.01567 
-0.21162 -0.09348 -0.02061 0.14344 -0.09563 -0.51653 -0.25753 -0.16078 -0.28756 -0.28761 
-0.96884 -0.4979 
# Output pattern 27:
0 0 1