19 33 0 52 61 121 61 1205 1206 [1207 20 318 68 29 62 12265 7794 37 35 73 676 [1302] [130] 13041 401
附录三L4-i分析所得相关系数与系数数据 [0101 0.00010 00027 0.0220 -0.0863 0.2005 0201 0.9884 0.00000 0.0000 0.0008 0.0082 0.0790 -0.0033 [0401 0.9321 0.00001 -0.0003 -001110.1028 [0601 0.9998 0.00000 0.0002 0.0132 01438 0.9972 -0.00001 0603 0.9980 -0.00001 0.0005 -0.0067 0.0249 0.0913 -0.00001 0.00 -0.0039 0.0199 0.9974 0.00000 0.0002 -0.0035 0.0199 0.0560 0.9967 -0.00001 -0.0062 0.9973 -0.00001 0.0005 -0.0080 0.0423 0.0321 0.9969 -0.00001 0.0003 -0.0054 0.0322 0.0360 [0609 0.9945 -0. 0000 -0.0073 0.0418 0.0246 0.9976 -0.00001 0.0060 0611 0.9964 -0.00001 0.0004 -0.0056 0.0912 0612 0.9987 -0.00001 0.0006 0.0081 0.0283 0.1169 [0613 0.9972 -D. 00002 0.0006 -0.0075 0.0230 0.1172 [0701 0.9748 0.0020 0.0167 0.03740.1059 -0.00050 0.0064 -0.0245 0.0153 0.00000 00000 -0.09530.3051 090109140000 0.0625 -0.2569 04792 0904 0.9253 0.00050 0.0054 -0.0066-0.08980.3323 0.00030 0.9119 0.00000 -0.0037 0.0365 -0.14510.3258 090710846000 .01370.0923 -0.2589 0.3640 [0908 09575 0.00080 -00128 0 0778 -0.239 04 0y09421000 -0.1701 0.3247 0.8688 0.00050 -00084 0.0533 -0.15490.2823 [1001] -0.00003 -0.0925 0.2798 [101 09704 0.00003 -0.0006 7 -00322 0.1793 [2]|0.96440000 0.1420 [1202 0.9477 0.00001 -00003 0.0052 0.0352.1260 [1203 0.9705 0.00001 0.0002 0.0981 [1204 0.9698 0.0000 -0.000800101 -0.05260.1428 1209559000 0.0067 -0.0413 0.1421 0.9884 0.00004 00146 0.1938 0.9864 0.00009 -00023 0.0221 -0.0899 0.1841 0.9810 0.00050 1185 100972000 -0.0045 0.0268 -00737 0.2056 [303 07882 -0.00030 0.0079 -0390 [1304 0.0968 0.00 -0.0088 0.0547 0.2712 0.9671 0.0001 055 0.0093 0.9325 0.00010 0.0014 0.0048 0.0260 0.1927
附录三 分析所得相关系数与系数数据 标本编号 r 2 c 4 c 3 c 2 c 1 c 0 [0101 ] 0.9883 0.00010 -0.0027 0.0220 -0.0863 0.2005 [0201 ] 0.9884 0.00000 0.0000 0.0008 -0.0082 0.0790 [0301 ] 0.9734 -0.00002 0.0005 -0.0031 -0.0033 0.1178 [0401 ] 0.9321 0.00001 -0.0003 0.0026 -0.0111 0.1028 [0601 ] 0.9998 0.00000 0.0002 -0.0042 0.0132 0.1438 [0602 ] 0.9972 -0.00001 0.0003 -0.0042 0.0123 0.1134 [0603 ] 0.9980 -0.00001 0.0005 -0.0067 0.0249 0.0913 [0604 ] 0.9765 -0.00001 0.0002 -0.0039 0.0199 0.0655 [0605 ] 0.9974 0.00000 0.0002 -0.0035 0.0199 0.0560 [0606 ] 0.9967 -0.00001 0.0004 -0.0062 0.0280 0.0687 [0607 ] 0.9973 -0.00001 0.0005 -0.0080 0.0423 0.0321 [0608 ] 0.9969 -0.00001 0.0003 -0.0054 0.0322 0.0360 [0609 ] 0.9945 -0.00001 0.0004 -0.0073 0.0418 0.0246 [0610 ] 0.9976 -0.00001 0.0004 -0.0060 0.0247 0.0934 [0611 ] 0.9964 -0.00001 0.0004 -0.0056 0.0227 0.0912 [0612 ] 0.9987 -0.00001 0.0006 -0.0081 0.0283 0.1169 [0613 ] 0.9972 -0.00002 0.0006 -0.0075 0.0230 0.1172 [0701 ] 0.9748 -0.00008 0.0020 -0.0167 0.0374 0.1059 [0801 ] 0.9888 -0.00050 0.0064 -0.0245 0.0153 0.1228 [0902 ] 0.8249 0.00000 0.0000 0.0106 -0.0953 0.3051 [0903 ] 0.9314 0.00000 -0.0056 0.0625 -0.2569 0.4792 [0904 ] 0.9253 -0.00050 0.0054 -0.0066 -0.0898 0.3323 [0905 ] 0.9330 0.00030 -0.0061 0.0431 -0.1555 0.3410 [0906 ] 0.9119 0.00000 -0.0037 0.0365 -0.1451 0.3258 [0907 ] 0.8460 0.00070 -0.0137 0.0923 -0.2589 0.3640 [0908 ] 0.9575 0.00080 -0.0128 0.0778 -0.2397 0.4211 [0909 ] 0.9421 0.00040 -0.0082 0.0543 -0.1701 0.3247 [0910 ] 0.8688 0.00050 -0.0084 0.0533 -0.1549 0.2823 [1001 ] 0.9691 -0.00003 -0.0003 0.0120 -0.0925 0.2798 [1101 ] 0.9704 0.00003 -0.0006 0.0047 -0.0322 0.1793 [1201 ] 0.9644 0.00002 -0.0008 0.0100 -0.0502 0.1420 [1202 ] 0.9477 0.00001 -0.0003 0.0052 -0.0352 0.1260 [1203 ] 0.9705 0.00001 -0.0002 0.0033 -0.0221 0.0981 [1204 ] 0.9698 0.00002 -0.0008 0.0101 -0.0526 0.1428 [1205 ] 0.9559 0.00001 -0.0005 0.0067 -0.0413 0.1421 [1206 ] 0.9884 0.00004 -0.0013 0.0146 -0.0709 0.1938 [1207 ] 0.9864 0.00009 -0.0023 0.0221 -0.0899 0.1841 [1301 ] 0.9810 0.00050 -0.0082 0.0472 -0.1185 0.2324 [1302 ] 0.9672 0.00020 -0.0045 0.0268 -0.0737 0.2056 [1303 ] 0.7882 -0.00030 0.0079 -0.0669 0.2034 -0.0390 [1304 ] 0.0968 0.00050 -0.0088 0.0547 -0.1500 0.2712 [1305 ] 0.9671 0.00002 0.0001 -0.0055 0.0093 0.1528 [1401 ] 0.9325 0.00010 -0.0014 0.0048 -0.0260 0.1927
附录四△-A1分析所得相关系数与系数数据 [01009871 -0.3021 0.5186 0.9897 -0.0909 0.1236 -0.1049 0.0737 0.9836 0.1514 0.2102 -0.0524 0.1111 o4on09484 0.0058 -0.0963 -0.00430.0927 0.9900 -0.0 0712 -0.0336 -0.0086 0.1234 0.9920 -00096 -0.1468 0.0529 0.1122 0604] 0.9694 -00209 -0.1209 0.0660 0.0853 [0605 0.9925 0.0238 4.19750.1058 0.0751 [0606] 09915 0.0589 -0.2558 1119 0.0931 0.9866 0.1294 040650.2144 0.0760 -0.3238 0.1879 0.0674 [0609 0.9891 0.1470 44170.2380 0.0649 [0610 099140.116 0.0179 0.1246 0.9903 -00632 -0.0478 0612 0.9915 -0.1495 0.0572 -0.0488 0.1510 [0613] 0.9927 -00633 40779 0.0148 0.1351 [O701 0.98070.2328 -04011 0.0403 0.1288 [0801] 0.9898 0.0077 4.1717 0.9554 -0.4243 07139 0.2514 0.0829 0.2961 [0904 099610.174 0.3892 -0.4948 0.2803 [0905 -0.2948 0 -04354 0.2521 906 0.9910 0.9741 -0.5676 0.8968 -0.5441 0.2138 0.9976 0.1387 02 -0.4055 0.2740 [0909 09957 -0. 3491 0.5527 -04241 0.2199 9705 0717 -0.4380 0.1910 [1001] 09773 -.1962 0.4191 0.2056 [101] 0.9629 0.2095 -0.3328 0.1480 [1201] 0.9550 -0.40120.5906 -0.2922 0.1015 1202109244 -0.3077 0 0.0953 [1203 0.9218 -0.0647 0.0968 -0.1114 0.0746 [1204 -0.3732 -0.3151 0.0976 [1205 0.9431 0.2362 0.3824 0.2569 0.1061 0.9598 -007e 0161 -0.2287 0.1346 0.9889 -05255 0.8402 -0.43220.1173 0.9711 -0.2832 0.1496 0.9614 0.2184 -04251 0.0568 [1303] 0.8046 0.6496 -1.1529 0.3851 0.1190 [1304 0.9655 -0.0228 000870 0.1641 0.9568 0.3990 -0.7266 0.1708 0.1491 1401 0.2415 -03862 -0.0261
附录四 分析所得相关系数与系数数据 标本编号 r 2 c 3 c 2 c 1 c 0 [0101] 0.9871 -0.3021 0.5186 -0.3531 0.1367 [0201] 0.9897 -0.0909 0.1236 -0.1049 0.0737 [0301] 0.9836 0.1514 -0.2102 -0.0524 0.1111 [0401] 0.9484 0.0058 -0.0963 -0.0043 0.0927 [0602] 0.9900 -0.0712 -0.0336 -0.008 6 0.1234 [0603] 0.9920 -0.0096 -0.1468 0.0529 0.1122 [0604] 0.9694 -0.0209 -0.1209 0.0660 0.0853 [0605] 0.9925 0.0238 -0.1975 0.1058 0.0751 [0606] 0.9915 0.0589 -0.2558 0.1119 0.0931 [0607] 0.9866 0.1294 -0.4065 0.2144 0.0721 [0608] 0.9917 0.0760 -0.3238 0.1879 0.0674 [0609] 0.9891 0.1470 -0.4417 0.2380 0.0649 [0610] 0.9914 -0.1167 0.0179 -0.0167 0.1246 [0611] 0.9903 -0.0632 -0.0478 0.0017 0.1184 [0612] 0.9915 -0.1495 0.0572 -0.0488 0.1510 [0613] 0.9927 -0.0633 -0.0779 0.0148 0.1351 [0701] 0.980 7 0.2328 -0.4011 0.0403 0.1288 [0801] 0.9898 0.0449 0.0077 -0.1717 0.1191 [0902] 0.9554 -0.4243 0.7139 -0.5405 0.2514 [0903] 0.9741 0.0829 -0.0983 -0.2805 0.2961 [0904] 0.9961 -0.1742 0.3892 -0.4948 0.2803 [0905] 0.9942 -0.2948 0.4784 -0.4354 0.2521 [0906] 0.9910 -0.1616 0.3178 -0.3883 0.2321 [0907] 0.9741 -0.5676 0.8968 -0.5441 0.2138 [0908] 0.9976 -0.1387 0.2704 -0.4055 0.2740 [0909] 0.9957 -0.3491 0.5527 -0.4241 0.2199 [0910] 0.9705 -0.4650 0.7117 -0.4380 0.1910 [1001] 0.9773 -0.1962 0.4191 - 0.4276 0.2056 [1101] 0.9629 0.2095 -0.3328 -0.0296 0.1480 [1201] 0.9550 -0.4012 0.5906 -0.2922 0.1015 [1202] 0.9244 -0.3077 0.4756 -0.2714 0.0953 [1203] 0.9218 -0.0647 0.0968 -0.1114 0.0746 [1204] 0.9644 -0.3732 0.5899 -0.3151 0.0976 [1205] 0.9431 0.2362 0.3824 -0.2569 0.1061 [1206] 0.9598 -0.0762 0.1661 -0.2287 0.1346 [1207] 0.9889 -0.5255 0.8402 -0.4322 0.1173 [1301] 0.9711 0.1595 -0.2832 -0.0274 0.1496 [1302] 0.9614 0.2184 -0.4251 0.0568 0.1465 [1303] 0.8046 0.6496 -1.1529 0.3851 0.1190 [1304] 0.9655 -0.0228 0.0087 -0.1518 0.1641 [1305] 0.9568 0.3990 -0.7266 0.1708 0.1491 [1401] 0.9659 0.2415 -0.3862 -0.0261 0.1701
附录五Gi-1分析所得相关系数与系数数据 .1575 -1.3678 0.9854 -07959 -09483 -0.0982 -0.2714 0.9850 1.2852 3.1740 0.5401 0.9867 -1.8118 -3.1290 -1.3966 -0.6654 [O701] 0.9898 1.68 0065 29661 0.0776 0.9882 3.4615 94266 0902 0.9836 3.7717 -69077 3.5824 -09904 [0903] 0.9806 -29977 -3.1754 0.27110.1284 [0904 0.9759 -3.5428 -0.5069 5.1290 10.7130 0906 0.9355 3.1630 78073 6.0575 0.8642 0.8980 0.1971 1.5008 1 17031 0.048 [0908] 0.9857 -0.0736 1.0900 0.1310 3.4611 -3.2611 -0.8838 0910 0.9589 0.2194 -0.0242 -0.3149 -0.5362 1001 0.9794 -0.0498 6556 0.5504 -03543 [1101 0.9888 34519 8.0742 5 8593 07254 [1201] 0.9298 82 -0.5527 2.0844 4.8610 0.0938 0.9587 6.1990 13.0790 8.4287 12538 [1204] 0.9681 2.9424 6.6032 4.2349 0.3815 [1205 0.9568 1.6548 .8295 2.6037 0.1279 63989 13.8000 12724 0.9189 4.9375 11.5890 8.3689 1.5098 0.9773 0.4917 2.6692 29130 0.2903 [1302 0.9622 1.6973 4.305529072 0.01 130310993 9927 3 4371 9313 0.2081 [1304 0.9790 14354 4.7363 4.1918 0.9916 10.1020 6.1853 0.6172 [1401 7.1681 附录六△+1-△分析所得相关系数与系数数据 0.9449 0.0228 0.5514 0.9104 0.0219 0.6143 [0201] 0.9786 0.9184 0906 0.8651 0.0246 0 -0.0036 0.9187 0.4556 0.0574 3394 0.8518 [0908] 0.9839 0.6014 9955 -0.0117 909 0.896800282 0.5853 0.9807 -0.0115 1.0399 0910 0.8694 0.5420 -.0112 0.9593 0.0182 0.5973 [0604 -0.006 1.0431 [101] 0.9274 0.8403 [0605 0.9696 -0.0070 63 1.056 [1201 0.6849 0285 0.4480 1.0385 [1202] 0.7780 001030.6577 0607 0.9234 -0.0074 1.0570 0.8844 0.0037 0.8084 0608 0.9422 -0.0077 1.0676 0.8498 0.0210 0.4908 60]09178 104721205]0836 0.6843 [0610 0.9804 -0.0139 1.0554 [1206] 0.9129 0.0051 061]0978400210285[207 8811 0.3841 -0.0181 0.9147 -.0214 1.024 0613]09743 52105231302 0.9195 0.0201 1.0191 oo]0926 -0.00500.9227 [1303 0.3835 0.0266 0.6297 0801]08 081l 8310 0.0020 0.8389 0.0434 0.4857 0.8940 0.0070 0.8945 081330.0354 0.4928 [1401] 0.8258 0177 0.9513 0904
附录五 分析所得相关系数与系数数据 标本编号 r 2 c 4 c 3 c 2 c 1 [0101 ] 0.9733 -1.7044 -4.1575 -3.6013 -1.3678 [0201 ] 0.9854 -0.7959 - 0.9483 -0.0982 -0.2714 [0301 ] 0.9850 1.2852 3.6019 3.1740 0.5401 [0401 ] 0.9867 -1.8118 -3.1290 -1.3966 -0.6654 [0701 ] 0.9898 1.6899 4.0065 2.9661 0.0776 [0801 ] 0.9882 3.4615 9.4266 8.4965 2.0859 [0902 ] 0.9836 -3.7717 -6.9077 -3.5824 -0.9904 [0903 ] 0.9806 -2.9977 -3.1754 0.2711 -0.1284 [0904 ] 0.9759 -2.6910 -3.5428 -0.9859 -0.5069 [0905 ] 0.9341 5.1290 10.7130 6.5823 0.5022 [0906 ] 0.9355 3.1630 7.8073 6.0575 0.8642 [0907 ] 0.8980 0.1971 1.5008 1.7031 0.0481 [0908 ] 0.9857 -0.0736 1.0900 1.4104 0.1310 [0909 ] 0.9241 -3.4611 -6.2067 -3.2611 -0.8838 [0910 ] 0.9589 0.2194 -0.0242 -0.3149 -0.5362 [1001 ] 0.9794 -0.0498 0.6556 0.5504 -0.3543 [1101 ] 0.9888 3.4519 8.0742 5.8593 0.7254 [1201 ] 0.9298 0.0659 0.3382 -0.0791 -0.5527 [1202 ] 0.8523 2.0844 4.8610 3.0108 0.0938 [1203 ] 0.9587 6.1990 13.0790 8.4287 1.2538 [1204 ] 0.9681 2.9424 6.6032 4.2349 0.3815 [1205 ] 0.9568 1.6548 3.8295 2.6037 0.1279 [1206 ] 0.9296 6.3989 13.8000 8.8753 1.2724 [1207 ] 0.9189 4.9375 11.5890 8.3689 1.5098 [1301 ] 0.9773 0.4917 2.6692 2.9130 0.2903 [1302 ] 0.9622 1.6973 4.3055 2.9072 0.0157 [1303 ] 0.9383 0.9927 3.4371 2.9313 0.2081 [1304 ] 0.9790 1.4354 4.7363 4.1918 0.5187 [1305 ] 0.9916 4.9483 10.1020 6.1853 0.6172 [1401 ] 0.9864 3.2511 7.1681 4.7694 0.5273 附录六 分析所得相关系数与系数数据 标本编号 r2 a b 标本编号 r 2 a b [0101 ] 0.9449 0.0228 0.5514 [0905 ] 0.9104 0.0219 0.6143 [0201 ] 0.9786 0.0007 0.9184 [0906 ] 0.8651 0.0246 0.5916 [0301 ] 0.9675 -0.0036 0.9187 [0907 ] 0.4556 0.0574 0.3394 [0401 ] 0.8518 0.0000 0.9043 [0908 ] 0.9839 0.0187 0.6014 [0601 ] 0.9955 -0.0117 0.9924 [0909 ] 0.8968 0.0282 0.5853 [0602 ] 0.9807 -0.0115 1.0399 [0910 ] 0.8694 0.0345 0.5420 [0603 ] 0.9688 -0.0112 1.0513 [1001 ] 0.9593 0.0182 0.5973 [0604 ] 0.9054 -0.0069 1.0431 [1101 ] 0.9274 -0.0014 0.8403 [0605 ] 0.9696 -0.0070 1.0563 [1201 ] 0.6849 0.0285 0.4480 [0606 ] 0.9602 -0.0077 1.0385 [1202 ] 0.7780 0.0103 0.6577 [0607 ] 0.9234 -0.0074 1.0570 [1203 ] 0.8844 0.0037 0.8084 [0608 ] 0.9422 -0.0077 1.0676 [1204 ] 0.8498 0.0210 0.4908 [0609 ] 0.9178 -0.0061 1.0472 [1205 ] 0.8367 0.0099 0.6843 [0610 ] 0.9804 -0.0139 1.0554 [1206 ] 0.9129 0.0051 0.7500 [0611 ] 0.9784 -0.0102 1.0285 [1207 ] 0.8811 0.0285 0.3841 [0612 ] 0.9821 -0.0181 1.0490 [1301 ] 0.9147 -0.0214 1.0244 [0613 ] 0.9743 -0.0152 1.0523 [1302 ] 0.9195 -0.0201 1.0191 [0701 ] 0.9236 -0.0050 0.9227 [1303 ] 0.3835 0.0266 0.6297 [0801 ] 0.8782 0.0017 0.8111 [1304 ] 0.8310 -0.0020 0.8389 [0902 ] 0.6982 0.0434 0.4857 [1305 ] 0.8940 -0.0070 0.8945 [0903 ] 0.8133 0.0354 0.4928 [1401 ] 0.8258 -0.0177 0.9513 [0904 ] 0.9613 0.0206 0.5679
附录七D分析所得D值及其类均数和标准差 [0101 0903 [0401] 3.432 0905 [0701] 3. [0906 2.624 [101 2.768 0908 1.935 [401] 1912 [1301] 2.586 2048 1001] 1.902 [1303] 2.069 [304 1 [1202] 2.176 [1204 2.250 [1205 2.294 [1206] 2.061 D平均值 2.346 D平均值 2.449 D标准差 0.379 D标准差 0.302 附录八我们采用的两级前传神经网络的特性与学习优化算法 1)对 McCulloch-Pitt形式神经元的修改: 为方便最速下降法求极值,将两态函数 6(x)=/1,×≥0 0,×<0 换为可微函数 x 其中β为正常数 2) Back-Propagation算法中结合了模拟退火算法的最速下降法 每次迭代过程的连接权重修正量为 ae(t △wwt A(rme T 其中t为迭代次数:E为该网络分类偏差的平方和,为分类总误差的量度;η是与算法收敛速度有关的常数;A为一代表噪 声强度的正常数;为一在(2,2上均匀分布的随机变量的抽样值:T为噪声强度衰减的时间常数,与算法优化能力 及收敛速度均有关。结合了模拟退火算法以后,可能获得比简单的最速下降法更优的解 3)我们的神经网络模型与算法的 Pascal程序实现 注:请根据系统和编译器的不同情况选择参数值,以获得最佳算法收敛速度和浮点数据类型溢出之间的平衡 program Neural_Network_for _Fern_classification J: 1.. NUM_OF__HIDDEN; const NUM_OF_SPECIMEN; UM OF IMPUT =4 Imput_file, Targetfile, Export_file string NUMOF HIDDEN B ude=0.00 ImputTyr meofRelaxation 10 output array [1.. NUM_OF_SPECIMEN, 1.. NUM_OF_OUTPUT] Beta m 1.0: Precision a 0. 001 weight1 array type mputType s array [1 . NUM_OF_SPECIMEN, 1.. NUM_OF_IMPUT] dden array [1.. NUM_OF_SPECIMEN NUM_ OF⊥ HIDDEN] TargetType s array [1 . NUM_OF_SPECIMEN, 1 .. NUM_OF_OUTPUT] h] array UM( d] array [1 . NUM_OF_SPECIMEN, 1 龙二: 1.. NUM_ OUTPUT [1 . NUM_OF_SPECIMEN, 1.. NUM_OF_OUTPUT] of real
附录七 D 分析所得 D 值及其类均数和标准差 标本编号 D 标本编号 D [0101] 820 [0902] 2.323 [0201] 2.378 [0903] 2.781 [0301] 2.022 [0904] 2.109 [0401] 3.432 [0905] 2.433 [0701] 3.051 [0906] 2.624 [0801] 2.515 [0907] 1.977 [1101] 2.768 [0908] 1.935 [1401] 1.917 [0909] 1.912 [1301] 2.586 [0910] 2.048 [1302] 2.102 [1001] 1.902 [1303] 2.069 [1304] 2.331 [1305] 1.949 [1201] 2.131 [1202] 2.176 [1203] 2.373 [1204] 2.250 [1205] 2.294 [1206] 2.061 [1207] 2.160 D平均值 2.346 D平均值 2.449 D标准差 0.379 D标准差 0.302 附录八 我们采用的两级前传神经网络的特性与学习优化算法 1） 对 McCulloch-Pitts 形式神经元的修改： 为方便最速下降法求极值，将两态函数 换为可微函数 其中 为正常数。 2） Back-Propagation 算法中结合了模拟退火算法的最速下降法： 每次迭代过程的连接权重修正量为 其中 t 为迭代次数；E 为该网络分类偏差的平方和，为分类总误差的量度； 是与算法收敛速度有关的常数；A 为一代表噪 声强度的正常数； 为一在 上均匀分布的随机变量的抽样值； 为噪声强度衰减的时间常数，与算法优化能力 及收敛速度均有关。结合了模拟退火算法以后，可能获得比简单的最速下降法更优的解。 3） 我们的神经网络模型与算法的 Pascal 程序实现： 注： 请根据系统和编译器的不同情况选择参数值，以获得最佳算法收敛速度和浮点数据类型溢出之间的平衡。 program Neural_Network_for_Fern_Classification; const NUM_OF_IMPUT = 4; NUM_OF_HIDDEN = 6; NUM_OF_OUTPUT = 3; NUM_OF_SPECIMEN = 42; NoiseAmplitude = 0.001; TimeOfRelaxation = 10.0; Eta = 2.0; Beta = 1.0; Precision = 0.001; type ImputType = array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_IMPUT] of real; TargetType = array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_OUTPUT] of real; var i : 1 .. NUM_OF_OUTPUT; j : 1 .. NUM_OF_HIDDEN; k : 1 .. NUM_OF_IMPUT; n : 1 .. NUM_OF_SPECIMEN; Imput_file, Target_file, Export_file : String; Time : real; PreciseEnough : Boolean; Imput : ImputType; Target : TargetType; Output : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_OUTPUT] of real; Weight1 : array [1 .. NUM_OF_OUTPUT, 1 .. NUM_OF_HIDDEN] of real; Weight2 : array [1 .. NUM_OF_HIDDEN, 1 .. NUM_OF_IMPUT] of real; Hidden : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_HIDDEN] of real; hj : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_HIDDEN] of real; hi : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_OUTPUT] of real; dj : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_HIDDEN] of real; di : array [1 .. NUM_OF_SPECIMEN, 1 .. NUM_OF_OUTPUT] of real;