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戰(zhàn)神無極限銅蟲 (小有名氣)
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[求助]
跪求1stOpt4.0以上版本,或者請高人幫忙擬合包含復數(shù)的函數(shù)的參數(shù) 已有1人參與
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程序代碼我已寫好,求幫忙擬合 Title 曲線擬合; ComplexStr = i; Parameter yibxilong_infite,yibxilong_s,tao,bet_a; Variable Omega,y[realPart],y[imagPart]; Function y=yibxilong_infite+((yibxilong_s-yibxilong_infite)/((1+i*Omega*tao)^bet_a)); Data; 2 4.37523 0.62119 2.08 4.33845 0.62521 2.16 4.34997 0.63053 2.24 4.31506 0.65416 2.32 4.31287 0.64956 2.4 4.2921 0.6785 2.48 4.27592 0.67085 2.56 4.27271 0.68946 2.64 4.24622 0.69245 2.72 4.24252 0.69161 2.8 4.2235 0.70592 2.88 4.2131 0.69066 2.96 4.20274 0.7088 3.04 4.17474 0.69278 3.12 4.18037 0.69368 3.2 4.15111 0.68694 3.28 4.15204 0.67542 3.36 4.13015 0.68071 3.44 4.11932 0.65229 3.52 4.11557 0.66384 3.6 4.09273 0.64346 3.68 4.10344 0.64157 3.76 4.08152 0.63953 3.84 4.09644 0.63258 3.92 4.07714 0.64613 4 4.07915 0.62682 4.08 4.08866 0.64295 4.16 4.07995 0.64287 4.24 4.09006 0.65073 4.32 4.07778 0.66372 4.4 4.08659 0.65938 4.48 4.09006 0.69362 4.56 4.08228 0.68802 4.64 4.10068 0.71379 4.72 4.0723 0.72193 4.8 4.09413 0.73359 4.88 4.0731 0.75905 4.96 4.0816 0.74975 5.04 4.08084 0.78647 5.12 4.06507 0.77138 5.2 4.0818 0.79578 5.28 4.0533 0.79477 5.36 4.08002 0.7944 5.44 4.0605 0.81608 5.52 4.06823 0.79508 5.6 4.06843 0.82243 5.68 4.05722 0.79832 5.76 4.0792 0.81293 5.84 4.0543 0.81464 5.92 4.07444 0.80338 6 4.05518 0.8267 6.08 4.06451 0.80252 6.16 4.07049 0.84089 6.24 4.04613 0.8307 6.32 4.06599 0.84915 6.4 4.02474 0.86132 6.48 4.04207 0.85187 6.56 4.01568 0.8869 6.64 4.00774 0.861 6.72 4.01495 0.90078 6.8 3.98407 0.88764 6.88 4.01325 0.90488 6.96 3.97776 0.9195 7.04 4.00142 0.90944 7.12 3.99027 0.94878 7.2 3.99063 0.9286 7.28 4.01148 0.96782 7.36 3.98202 0.96614 7.44 4.02715 0.9764 7.52 3.99927 1.00541 7.6 4.0286 0.9848 7.68 4.02259 1.03537 7.76 4.0183 1.00616 7.84 4.04591 1.04756 7.92 4.00783 1.03853 8 4.04809 1.04458 8.08 4.00583 1.06889 8.16 4.02548 1.04709 8.24 4.00542 1.08586 8.32 3.97856 1.05657 8.4 3.99808 1.0767 8.48 3.94704 1.08118 8.56 3.97794 1.066 8.64 3.93227 1.11335 8.72 3.9337 1.07041 8.8 3.93626 1.13698 8.88 3.88795 1.09824 8.96 3.93594 1.15048 9.04 3.86228 1.15887 9.12 3.91482 1.16699 9.2 3.8589 1.22328 9.28 3.88337 1.18775 9.36 3.88369 1.2631 9.44 3.85848 1.23161 9.52 3.90621 1.2869 9.6 3.85492 1.29122 9.68 3.90851 1.28457 9.76 3.8738 1.3413 9.84 3.89225 1.29721 9.92 3.89533 1.37074 10 3.86391 1.32386 10.08 3.91378 1.35101 10.16 3.84783 1.35357 10.24 3.89741 1.33465 10.32 3.84317 1.3746 10.4 3.84082 1.31404 10.48 3.84381 1.36793 10.56 3.79267 1.32282 10.64 3.83601 1.34366 10.72 3.75153 1.35447 10.8 3.78495 1.32402 10.88 3.73595 1.37583 10.96 3.72531 1.32322 11.04 3.73699 1.39732 11.12 3.66998 1.37475 11.2 3.71147 1.40152 11.28 3.64639 1.43016 11.36 3.6951 1.40445 11.44 3.66645 1.49943 11.52 3.64921 1.45173 11.6 3.67278 1.53109 11.68 3.62043 1.50571 11.76 3.70031 1.54225 11.84 3.63168 1.57811 11.92 3.67956 1.54815 12 3.64643 1.61486 12.08 3.65567 1.54865 12.16 3.68399 1.61469 12.24 3.62965 1.58142 12.32 3.69052 1.59474 12.4 3.61013 1.60768 12.48 3.65312 1.56458 12.56 3.60661 1.61913 12.64 3.58948 1.55235 12.72 3.60285 1.6151 12.8 3.52316 1.58248 12.88 3.55328 1.60553 12.96 3.46259 1.6284 13.04 3.4799 1.59773 13.12 3.42929 1.67722 13.2 3.38338 1.63751 13.28 3.37557 1.70799 13.36 3.29446 1.68937 13.44 3.32208 1.7159 13.52 3.23213 1.76005 13.6 3.23184 1.72701 13.68 3.18662 1.79163 13.76 3.1535 1.73895 13.84 3.16797 1.78983 13.92 3.10565 1.77051 14 3.1318 1.75787 14.08 3.07723 1.77302 14.16 3.11093 1.70777 14.24 3.12093 1.74051 14.32 3.10783 1.68152 14.4 3.15819 1.68976 14.48 3.11168 1.66027 14.56 3.18533 1.61469 14.64 3.16197 1.64149 14.72 3.21006 1.57209 14.8 3.22436 1.6219 14.88 3.21211 1.55072 14.96 3.25935 1.57393 15.04 3.20934 1.55437 15.12 3.26857 1.52734 15.2 3.2262 1.55872 15.28 3.23214 1.51635 15.36 3.23624 1.56765 15.44 3.18766 1.52781 15.52 3.21679 1.5537 15.6 3.15515 1.5535 15.68 3.18251 1.53893 15.76 3.13452 1.58305 15.84 3.12766 1.55072 15.92 3.11925 1.6005 16 3.07438 1.58123 16.08 3.09502 1.59905 16.16 3.04198 1.61886 16.24 3.0635 1.62175 16.32 3.03214 1.68653 16.4 3.01135 1.66188 16.48 3.01369 1.71296 16.56 2.97412 1.71076 16.64 3.0108 1.75704 16.72 2.9509 1.79014 16.8 2.94444 1.79493 16.88 2.91727 1.84866 16.96 2.92702 1.82523 17.04 2.93201 1.88693 17.12 2.87968 1.89585 17.2 2.90914 1.91016 17.28 2.86698 1.89892 17.36 2.89035 1.86992 17.44 2.87119 1.90592 17.52 2.86254 1.87056 17.6 2.85872 1.88602 17.68 2.82335 1.8428 17.76 2.86058 1.8239 17.84 2.81505 1.82252 17.92 2.82796 1.7813 |

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擬合參數(shù):yibxilong_infite,yibxilong_s,tao,bet_a -- 當作復數(shù),匹配度有所提高。 !!!using["luopt","math","win"]; //使用命名空間 y(yibxilong_infite,yibxilong_s,tao,bet_a,Omega)= yibxilong_infite+((yibxilong_s-yibxilong_infite)/((1+1i*Omega*tao)^bet_a)); 目標函數(shù)(yibxilong_infite,y1,yibxilong_s,y2,tao,t,bet_a,b : i,s, e11,e22 : max, f, e1, e2)= { i=-1, s=0, while{++i<max, toreal[y(yibxilong_infite$y1,yibxilong_s$y2,tao$t,bet_a$b,f(i,0)), &e11,&e22], s=s+[e1(i,0)-e11]^2+[e2(i,0)-e22]^2 }, s }; main(: tArray : max, f, e1, e2)= { tArray=matrix{ //存放實驗數(shù)據 //f e1[realPart] e2[imagPart] "2 4.37523 0.62119 2.08 4.33845 0.62521 。。。省略數(shù)據 17.92 2.82796 1.7813" }, len[tArray,0,&max], f=tArray(all:0), e1=tArray(all:1),e2=tArray(all:2), //用len函數(shù)取矩陣的行數(shù),f等取矩陣的列 Opt1[@目標函數(shù), optwaysimdeep, optwayconfra] //Opt1函數(shù)全局優(yōu)化 }; 結果: 3.657474298099148 1.626818043232671 4.318672722366502 0.3945758465293068 -8.820890726323174e-004 8.261459401821658e-002 -0.7118355007158153 2.904333614575917e-003 1.837635420785165 圖形:https://blog.csdn.net/wlfc/article/details/119556598 |
鐵桿木蟲 (職業(yè)作家)
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參考下: Root of Mean Square Error (RMSE): 0.10112713083366 Sum of Squared Residual: 4.09067863625931 Correlation Coef. (R): 0.976111726914322 R-Square: 0.952794103419661 Adjusted R-Square: 0.952097809581063 Determination Coef. (DC): 0.942348917222362 F-Statistic: 1726.83608880207 Parameter Best Estimate -------------------- ------------- yibxilong_infite 2.03236571080145 yibxilong_s 4.29651699920008 tao -0.0130589159973196 bet_a 5.00743922766885 |
銅蟲 (小有名氣)

銅蟲 (小有名氣)

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