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学员4wIAhK新虫 (小有名气)
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[求助]
求大佬！！1stopt代码帮运行！！我的5.0破解版结果不稳定
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//Title "1" Parameter b1=[0,1]; Constant Mw = 200; Constant train_w_std(200)=[-0.3730,-1.3286,-1.0267,-0.9255,0.4688,-0.7913,-0.4397,0.4538,-1.6666,0.2154,0.3906,1.7442,0.3344,0.4298,2.0027,0.5100,1.8125,0.2360,-1.3207,-0.8287,0.2205,1.7836,-0.7977,-1.1155,-1.1622,0.2648,-0.6256,1.7083,0.1766,0.3370,0.2502,-0.6794,-1.0582,-0.8513,-0.6867,0.3271,-1.1496,0.2231,-0.9474,0.1135,-0.8767,1.5028,1.9012,-0.8245,1.5489,-0.8893,-1.0891,-1.3435,0.4884,0.3649,-0.4431,1.6729,0.2090,1.3951,1.4598,-1.1423,1.6912,-1.3415,-0.5702,0.3784,1.6525,-0.7861,0.3144,0.3612,0.4546,-1.0296,-0.8804,1.5929,1.5792,1.6627,0.4435,0.5548,0.3945,0.0527,-0.9279,-1.0950,1.4853,0.1624,-0.6806,-0.6986,0.5102,-1.6632,-0.7607,1.5040,-0.7777,1.8313,1.5252,0.2956,-0.9812,0.3826,1.6013,0.2652,0.4198,-0.5393,-0.5735,1.3525,0.3410,0.3855,-0.3574,-1.2598,0.3668,-0.5589,-1.2972,-0.8755,0.4929,-1.2116,0.3105,1.3438,1.6203,1.9665,-0.8222,1.7636,0.2969,-0.7433,0.4744,-0.7949,0.2410,0.4348,-0.8107,0.4833,-0.7457,-0.8641,0.3533,1.8297,0.5141,1.6790,0.2674,-1.2414,-0.5661,-1.4225,-1.2257,-1.2747,0.3337,-0.7741,-0.8240,-1.4085,0.2528,-0.7396,0.2757,1.5606,-1.1435,0.2066,-0.7074,1.6467,1.4792,1.5082,-1.0861,0.5651,-0.5387,1.5793,0.3772,0.4281,-0.9788,-1.1561,0.2587,-0.2984,-0.8805,-0.9740,0.3207,1.5677,1.5304,0.2526,-0.8105,-0.6716,-1.0073,-0.7825,-1.1565,-1.1070,-0.9957,1.7054,0.4670,-0.7740,-0.8237,-0.8693,-0.6616,0.3994,-1.1056,-0.6632,-0.4732,1.6846,0.4007,1.3407,-1.2415,-0.5095,-0.7523,1.6080,-0.6694,-1.1309,-0.1747,0.3312,-0.9459,0.3838,0.6140,-0.7341,0.4294,-0.8003,-1.0426,0.3560,0.4232,-1.2932]; Conatant train_La_std(200)=[1.3290,-0.2965,0.1530,0.4407,0.3625,1.1647,1.5205,0.2337,1.1235,-0.5800,0.0189,-1.2457,-0.1425,0.2902,-0.7665,0.4202,-1.0807,-0.5438,-0.1845,1.1181,-0.5375,-1.1059,1.0608,-0.1708,-0.3345,-0.3539,1.7385,-1.4049,-0.6089,-0.1984,-0.1852,1.4441,0.0363,0.9149,1.3648,-0.2678,-0.1884,-0.5066,0.4276,-0.5761,0.8322,-2.0481,-0.9430,1.0745,-1.9073,0.6541,-0.0576,-0.2251,0.1989,-0.1708,1.5223,-1.3268,-0.4819,-2.0101,-1.8699,-0.1610,-1.4592,-0.1516,1.6002,-0.1575,-1.6619,1.2527,-0.2216,-0.1560,0.2351,0.1180,0.6729,-1.7828,-1.7535,-1.4528,0.0498,0.5684,0.0875,-0.4889,0.4858,-0.1001,-1.7157,-0.6193,1.3869,1.5693,0.2037,1.0627,1.2560,-1.9458,1.0308,-0.8572,-1.7983,-0.4095,0.2851,-0.0685,-1.6749,-0.4057,0.3402,1.5007,1.4965,-1.7958,-0.2219,-0.1411,1.0310,-0.3074,-0.1678,1.6111,-0.2163,0.7730,0.3548,-0.2169,-0.3121,-1.8757,-1.7537,-0.8693,0.9624,-1.4189,-0.3059,1.1987,0.1378,1.1125,-0.5893,-0.0084,0.9548,0.2110,1.2183,0.8511,0.1125,-0.9918,0.4894,-1.3048,-0.3189,-0.1418,1.6790,-0.0092,-0.5718,-0.1515,-0.2648,1.0982,0.8894,0.0402,-0.3204,1.2804,-0.2819,-1.9779,-0.0962,-0.5245,1.5446,-1.7184,-1.9820,-1.7781,-0.0726,0.5152,1.6706,-1.7910,0.0412,0.1665,0.3925,-0.1908,-0.3495,0.9444,0.9524,0.3555,-0.0481,-1.8736,-1.7842,-0.4028,1.1029,1.4037,0.0491,1.0727,-0.1022,-0.0686,0.2138,-1.4111,0.2276,1.1142,0.7546,0.9494,1.3918,-0.0122,-0.2617,1.6138,1.6131,-1.3365,-0.0022,-1.8974,-0.2146,1.7488,1.4804,-1.6940,1.5922,-0.0145,0.1980,-0.2087,0.3257,0.0165,0.8852,1.3416,0.1367,1.1136,0.1964,-0.2158,0.2315,-0.0598]; ConstStr For(j=2:Mw)(sigma2[j-1]=b1*(sum(i=1:j-1)(abs(train_w_std[j]-train_w_std)/(j-1)))); For(j=2:Mw)(Pre_La_up[j-1]=sum(i=1:j-1)(train_La_std(i)*exp(-0.5*(train_w_std[j-1]-train_w_std)^2/sigma2[j-1]))); For(j=2:Mw)(Pre_La_down[j-1]=sum(i=1:j-1)(exp(-0.5*(train_w_std[j-1]-train_w_std)^2/sigma2[j-1]))); For(j=2:Mw)(rou[j-1]=sum(i=1:j-1)(exp(-2*(train_w_std[j-1]-train_w_std)^2))); For(j=1:Mw-1)(Pre_La_std[j]=Pre_La_up[j]/Pre_La_down[j]); For(j=1:Mw-1)(matri_b2[j]=rou[j]*(Pre_La_std[j]-train_La_std[j+1])^2); b2 = sum(j=1:Mw-1)(matri_b2[j])/(Mw-1); MinFunction -ln(b2^(-(Mw-1)/2))*exp(0.5-0.5*Mw); |
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2楼2021-03-30 17:20:29
