bdg_tdnn.pat

著名的神经网络工具箱

SNNS pattern definition file V3.2
generated at Mon Apr 25 17:11:43 1994


No. of patterns : 27
No. of input units : 112
No. of output units : 3

# Input pattern 1:
0.31711 0.713 0.61747 -0.03214 0.05296 0.0227 -0.31288 -0.40517 -0.5328 -0.34525 
-0.37073 0.09999 0.0687 -0.06717 -0.37582 -0.2771 0.29748 0.61847 0.45336 -0.13996 
-0.04787 -0.1315 -0.43343 -0.51003 -0.5251 -0.48097 -0.51076 -0.08132 -0.06651 -0.29215 
-0.54001 -0.42424 0.2635 0.55134 0.32453 -0.1541 -0.09647 -0.14213 -0.48909 -0.66367 
-0.81975 -0.67091 -0.66179 -0.25242 -0.25132 -0.62445 -0.77999 -0.65322 0.23418 0.51809 
0.27526 -0.18383 -0.09135 -0.16364 -0.61629 -0.68647 -0.77385 -0.79614 -0.69937 -0.43633 
-0.47639 -0.62801 -0.71237 -0.74102 0.20614 0.49128 0.21659 -0.21527 -0.07648 -0.24813 
-0.62811 -0.67263 -0.91938 -0.8266 -0.789 -0.52395 -0.59214 -0.68491 -0.77163 -0.74475 
0.191 0.48466 0.2234 -0.26047 -0.08584 -0.3085 -0.5071 -0.67435 -0.62418 -0.65029 
-0.70213 -0.53731 -0.50505 -0.63439 -0.72298 -0.72419 0.21469 0.51082 0.47132 0.14802 
0.234 0.13895 -0.06986 -0.34241 -0.18893 -0.3469 -0.30321 -0.15985 -0.02387 -0.05778 
-0.46807 -0.37507 
# Output pattern 1:
1 0 0 
# Input pattern 2:
0.29748 0.61847 0.45336 -0.13996 -0.04787 -0.1315 -0.43343 -0.51003 -0.5251 -0.48097 
-0.51076 -0.08132 -0.06651 -0.29215 -0.54001 -0.42424 0.2635 0.55134 0.32453 -0.1541 
-0.09647 -0.14213 -0.48909 -0.66367 -0.81975 -0.67091 -0.66179 -0.25242 -0.25132 -0.62445 
-0.77999 -0.65322 0.23418 0.51809 0.27526 -0.18383 -0.09135 -0.16364 -0.61629 -0.68647 
-0.77385 -0.79614 -0.69937 -0.43633 -0.47639 -0.62801 -0.71237 -0.74102 0.20614 0.49128 
0.21659 -0.21527 -0.07648 -0.24813 -0.62811 -0.67263 -0.91938 -0.8266 -0.789 -0.52395 
-0.59214 -0.68491 -0.77163 -0.74475 0.191 0.48466 0.2234 -0.26047 -0.08584 -0.3085 
-0.5071 -0.67435 -0.62418 -0.65029 -0.70213 -0.53731 -0.50505 -0.63439 -0.72298 -0.72419 
0.21469 0.51082 0.47132 0.14802 0.234 0.13895 -0.06986 -0.34241 -0.18893 -0.3469 
-0.30321 -0.15985 -0.02387 -0.05778 -0.46807 -0.37507 0.24122 0.58945 0.67189 0.44028 
0.5556 0.3322 0.08127 -0.28998 -0.48581 -0.45386 -0.36902 0.11445 0.27257 0.29378 
-0.37309 -0.23567 
# Output pattern 2:
1 0 0 
# Input pattern 3:
0.2635 0.55134 0.32453 -0.1541 -0.09647 -0.14213 -0.48909 -0.66367 -0.81975 -0.67091 
-0.66179 -0.25242 -0.25132 -0.62445 -0.77999 -0.65322 0.23418 0.51809 0.27526 -0.18383 
-0.09135 -0.16364 -0.61629 -0.68647 -0.77385 -0.79614 -0.69937 -0.43633 -0.47639 -0.62801 
-0.71237 -0.74102 0.20614 0.49128 0.21659 -0.21527 -0.07648 -0.24813 -0.62811 -0.67263 
-0.91938 -0.8266 -0.789 -0.52395 -0.59214 -0.68491 -0.77163 -0.74475 0.191 0.48466 
0.2234 -0.26047 -0.08584 -0.3085 -0.5071 -0.67435 -0.62418 -0.65029 -0.70213 -0.53731 
-0.50505 -0.63439 -0.72298 -0.72419 0.21469 0.51082 0.47132 0.14802 0.234 0.13895 
-0.06986 -0.34241 -0.18893 -0.3469 -0.30321 -0.15985 -0.02387 -0.05778 -0.46807 -0.37507 
0.24122 0.58945 0.67189 0.44028 0.5556 0.3322 0.08127 -0.28998 -0.48581 -0.45386 
-0.36902 0.11445 0.27257 0.29378 -0.37309 -0.23567 0.28194 0.62778 0.73414 0.58671 
0.65144 0.37131 0.10816 -0.23109 -0.41835 -0.34503 -0.32043 0.24317 0.3641 0.40593 
-0.25197 -0.10057 
# Output pattern 3:
1 0 0 
# Input pattern 4:
0.23418 0.51809 0.27526 -0.18383 -0.09135 -0.16364 -0.61629 -0.68647 -0.77385 -0.79614 
-0.69937 -0.43633 -0.47639 -0.62801 -0.71237 -0.74102 0.20614 0.49128 0.21659 -0.21527 
-0.07648 -0.24813 -0.62811 -0.67263 -0.91938 -0.8266 -0.789 -0.52395 -0.59214 -0.68491 
-0.77163 -0.74475 0.191 0.48466 0.2234 -0.26047 -0.08584 -0.3085 -0.5071 -0.67435 
-0.62418 -0.65029 -0.70213 -0.53731 -0.50505 -0.63439 -0.72298 -0.72419 0.21469 0.51082 
0.47132 0.14802 0.234 0.13895 -0.06986 -0.34241 -0.18893 -0.3469 -0.30321 -0.15985 
-0.02387 -0.05778 -0.46807 -0.37507 0.24122 0.58945 0.67189 0.44028 0.5556 0.3322 
0.08127 -0.28998 -0.48581 -0.45386 -0.36902 0.11445 0.27257 0.29378 -0.37309 -0.23567 
0.28194 0.62778 0.73414 0.58671 0.65144 0.37131 0.10816 -0.23109 -0.41835 -0.34503 
-0.32043 0.24317 0.3641 0.40593 -0.25197 -0.10057 0.28675 0.64041 0.75996 0.68255 
0.69962 0.3698 0.16668 -0.15346 -0.35115 -0.34437 -0.3013 0.22056 0.43926 0.48903 
-0.16454 -0.01672 
# Output pattern 4:
1 0 0 
# Input pattern 5:
0.20614 0.49128 0.21659 -0.21527 -0.07648 -0.24813 -0.62811 -0.67263 -0.91938 -0.8266 
-0.789 -0.52395 -0.59214 -0.68491 -0.77163 -0.74475 0.191 0.48466 0.2234 -0.26047 
-0.08584 -0.3085 -0.5071 -0.67435 -0.62418 -0.65029 -0.70213 -0.53731 -0.50505 -0.63439 
-0.72298 -0.72419 0.21469 0.51082 0.47132 0.14802 0.234 0.13895 -0.06986 -0.34241 
-0.18893 -0.3469 -0.30321 -0.15985 -0.02387 -0.05778 -0.46807 -0.37507 0.24122 0.58945 
0.67189 0.44028 0.5556 0.3322 0.08127 -0.28998 -0.48581 -0.45386 -0.36902 0.11445 
0.27257 0.29378 -0.37309 -0.23567 0.28194 0.62778 0.73414 0.58671 0.65144 0.37131 
0.10816 -0.23109 -0.41835 -0.34503 -0.32043 0.24317 0.3641 0.40593 -0.25197 -0.10057 
0.28675 0.64041 0.75996 0.68255 0.69962 0.3698 0.16668 -0.15346 -0.35115 -0.34437 
-0.3013 0.22056 0.43926 0.48903 -0.16454 -0.01672 0.29303 0.63942 0.73634 0.75832 
0.72291 0.38259 0.17293 -0.14836 -0.37557 -0.32713 -0.29673 0.16802 0.41959 0.52124 
-0.10227 0.00627 
# Output pattern 5:
1 0 0 
# Input pattern 6:
0.191 0.48466 0.2234 -0.26047 -0.08584 -0.3085 -0.5071 -0.67435 -0.62418 -0.65029 
-0.70213 -0.53731 -0.50505 -0.63439 -0.72298 -0.72419 0.21469 0.51082 0.47132 0.14802 
0.234 0.13895 -0.06986 -0.34241 -0.18893 -0.3469 -0.30321 -0.15985 -0.02387 -0.05778 
-0.46807 -0.37507 0.24122 0.58945 0.67189 0.44028 0.5556 0.3322 0.08127 -0.28998 
-0.48581 -0.45386 -0.36902 0.11445 0.27257 0.29378 -0.37309 -0.23567 0.28194 0.62778 
0.73414 0.58671 0.65144 0.37131 0.10816 -0.23109 -0.41835 -0.34503 -0.32043 0.24317 
0.3641 0.40593 -0.25197 -0.10057 0.28675 0.64041 0.75996 0.68255 0.69962 0.3698 
0.16668 -0.15346 -0.35115 -0.34437 -0.3013 0.22056 0.43926 0.48903 -0.16454 -0.01672 
0.29303 0.63942 0.73634 0.75832 0.72291 0.38259 0.17293 -0.14836 -0.37557 -0.32713 
-0.29673 0.16802 0.41959 0.52124 -0.10227 0.00627 0.28846 0.63804 0.72068 0.80514 
0.72174 0.44031 0.14815 -0.19428 -0.37546 -0.30221 -0.28107 0.31133 0.48009 0.56755 
-0.10679 0.01671 
# Output pattern 6:
1 0 0 
# Input pattern 7:
0.21469 0.51082 0.47132 0.14802 0.234 0.13895 -0.06986 -0.34241 -0.18893 -0.3469 
-0.30321 -0.15985 -0.02387 -0.05778 -0.46807 -0.37507 0.24122 0.58945 0.67189 0.44028 
0.5556 0.3322 0.08127 -0.28998 -0.48581 -0.45386 -0.36902 0.11445 0.27257 0.29378 
-0.37309 -0.23567 0.28194 0.62778 0.73414 0.58671 0.65144 0.37131 0.10816 -0.23109 
-0.41835 -0.34503 -0.32043 0.24317 0.3641 0.40593 -0.25197 -0.10057 0.28675 0.64041 
0.75996 0.68255 0.69962 0.3698 0.16668 -0.15346 -0.35115 -0.34437 -0.3013 0.22056 
0.43926 0.48903 -0.16454 -0.01672 0.29303 0.63942 0.73634 0.75832 0.72291 0.38259 
0.17293 -0.14836 -0.37557 -0.32713 -0.29673 0.16802 0.41959 0.52124 -0.10227 0.00627 
0.28846 0.63804 0.72068 0.80514 0.72174 0.44031 0.14815 -0.19428 -0.37546 -0.30221 
-0.28107 0.31133 0.48009 0.56755 -0.10679 0.01671 0.2865 0.63903 0.73419 0.83562 
0.7286 0.49881 0.1209 -0.20155 -0.34591 -0.30938 -0.26949 0.2945 0.39909 0.52307 
-0.18046 -0.02924 
# Output pattern 7:
1 0 0 
# Input pattern 8:
0.24122 0.58945 0.67189 0.44028 0.5556 0.3322 0.08127 -0.28998 -0.48581 -0.45386 
-0.36902 0.11445 0.27257 0.29378 -0.37309 -0.23567 0.28194 0.62778 0.73414 0.58671 
0.65144 0.37131 0.10816 -0.23109 -0.41835 -0.34503 -0.32043 0.24317 0.3641 0.40593 
-0.25197 -0.10057 0.28675 0.64041 0.75996 0.68255 0.69962 0.3698 0.16668 -0.15346 
-0.35115 -0.34437 -0.3013 0.22056 0.43926 0.48903 -0.16454 -0.01672 0.29303 0.63942 
0.73634 0.75832 0.72291 0.38259 0.17293 -0.14836 -0.37557 -0.32713 -0.29673 0.16802 
0.41959 0.52124 -0.10227 0.00627 0.28846 0.63804 0.72068 0.80514 0.72174 0.44031 
0.14815 -0.19428 -0.37546 -0.30221 -0.28107 0.31133 0.48009 0.56755 -0.10679 0.01671 
0.2865 0.63903 0.73419 0.83562 0.7286 0.49881 0.1209 -0.20155 -0.34591 -0.30938 
-0.26949 0.2945 0.39909 0.52307 -0.18046 -0.02924 0.29227 0.6406 0.77079 0.86033 
0.74882 0.54422 0.10976 -0.14891 -0.31317 -0.28474 -0.24854 0.24269 0.47125 0.53762 
-0.20221 -0.11123 
# Output pattern 8:
1 0 0 
# Input pattern 9:
0.28194 0.62778 0.73414 0.58671 0.65144 0.37131 0.10816 -0.23109 -0.41835 -0.34503 
-0.32043 0.24317 0.3641 0.40593 -0.25197 -0.10057 0.28675 0.64041 0.75996 0.68255 
0.69962 0.3698 0.16668 -0.15346 -0.35115 -0.34437 -0.3013 0.22056 0.43926 0.48903 
-0.16454 -0.01672 0.29303 0.63942 0.73634 0.75832 0.72291 0.38259 0.17293 -0.14836 
-0.37557 -0.32713 -0.29673 0.16802 0.41959 0.52124 -0.10227 0.00627 0.28846 0.63804 
0.72068 0.80514 0.72174 0.44031 0.14815 -0.19428 -0.37546 -0.30221 -0.28107 0.31133 
0.48009 0.56755 -0.10679 0.01671 0.2865 0.63903 0.73419 0.83562 0.7286 0.49881 
0.1209 -0.20155 -0.34591 -0.30938 -0.26949 0.2945 0.39909 0.52307 -0.18046 -0.02924 
0.29227 0.6406 0.77079 0.86033 0.74882 0.54422 0.10976 -0.14891 -0.31317 -0.28474 
-0.24854 0.24269 0.47125 0.53762 -0.20221 -0.11123 0.28521 0.63991 0.78899 0.86371 
0.77374 0.53114 0.07688 -0.16503 -0.36661 -0.31003 -0.26637 0.27596 0.49686 0.5115 
-0.22631 -0.1751 
# Output pattern 9:
1 0 0 
# Input pattern 10:
-0.00513 0.27613 0.18989 0.38431 0.61007 0.35834 0.28518 0.45062 0.45902 0.09114 
-0.06501 0.37094 0.14195 -0.1212 -0.2668 0.01523 -0.00291 0.29128 0.2106 0.4334 
0.51596 0.32665 0.22961 0.3657 0.37426 -0.01034 -0.15576 0.32519 0.16953 -0.25431 
-0.19541 0.05395 0.0048 0.29549 0.22142 0.35269 0.30466 0.1687 0.14658 0.26061 
0.20333 -0.1734 -0.25284 0.24918 0.06369 -0.41659 -0.21207 -0.08258 -0.0349 0.21784 
0.03811 0.06596 0.03813 -0.20767 -0.15633 -0.08599 -0.27414 -0.43027 -0.54984 -0.04584 
-0.32905 -0.68586 -0.60708 -0.46135 -0.07908 0.20391 -0.03578 -0.11252 -0.09835 -0.5892 
-0.43951 -0.36557 -0.5982 -0.55042 -0.7817 -0.43327 -0.61717 -0.96602 -0.90188 -0.76041 
-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 
# Output pattern 10:
0 1 0 
# Input pattern 11:
-0.00291 0.29128 0.2106 0.4334 0.51596 0.32665 0.22961 0.3657 0.37426 -0.01034 
-0.15576 0.32519 0.16953 -0.25431 -0.19541 0.05395 0.0048 0.29549 0.22142 0.35269 
0.30466 0.1687 0.14658 0.26061 0.20333 -0.1734 -0.25284 0.24918 0.06369 -0.41659 
-0.21207 -0.08258 -0.0349 0.21784 0.03811 0.06596 0.03813 -0.20767 -0.15633 -0.08599 
-0.27414 -0.43027 -0.54984 -0.04584 -0.32905 -0.68586 -0.60708 -0.46135 -0.07908 0.20391 
-0.03578 -0.11252 -0.09835 -0.5892 -0.43951 -0.36557 -0.5982 -0.55042 -0.7817 -0.43327 
-0.61717 -0.96602 -0.90188 -0.76041 -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 
# Output pattern 11:
0 1 0 
# Input pattern 12:
0.0048 0.29549 0.22142 0.35269 0.30466 0.1687 0.14658 0.26061 0.20333 -0.1734 
-0.25284 0.24918 0.06369 -0.41659 -0.21207 -0.08258 -0.0349 0.21784 0.03811 0.06596 
0.03813 -0.20767 -0.15633 -0.08599 -0.27414 -0.43027 -0.54984 -0.04584 -0.32905 -0.68586 
-0.60708 -0.46135 -0.07908 0.20391 -0.03578 -0.11252 -0.09835 -0.5892 -0.43951 -0.36557 
-0.5982 -0.55042 -0.7817 -0.43327 -0.61717 -0.96602 -0.90188 -0.76041 -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 
# Output pattern 12:
0 1 0 
# Input pattern 13:
-0.0349 0.21784 0.03811 0.06596 0.03813 -0.20767 -0.15633 -0.08599 -0.27414 -0.43027 
-0.54984 -0.04584 -0.32905 -0.68586 -0.60708 -0.46135 -0.07908 0.20391 -0.03578 -0.11252 
-0.09835 -0.5892 -0.43951 -0.36557 -0.5982 -0.55042 -0.7817 -0.43327 -0.61717 -0.96602 
-0.90188 -0.76041 -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 
# Output pattern 13:
0 1 0 
# Input pattern 14:
-0.07908 0.20391 -0.03578 -0.11252 -0.09835 -0.5892 -0.43951 -0.36557 -0.5982 -0.55042 
-0.7817 -0.43327 -0.61717 -0.96602 -0.90188 -0.76041 -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