數(shù)值分析與能源消耗(編輯修改稿)
2025-07-21 14:05 本頁面
【文章內(nèi)容簡介】 p2 = (, ) p3 = (, ) p4 = (, ) p5 = (, ) p6 = +004 (+004, +004)Goodness of fit: SSE: +013 Rsquare: Adjusted Rsquare: RMSE: +006圖6 六次擬合 六次擬合其結(jié)果如圖6所示。Linear model Poly6: f(x) = p1*x^6 + p2*x^5 + p3*x^4 + p4*x^3 + p5*x^2 + p6*x + p7Coefficients (with 95% confidence bounds): p1 = (, ) p2 = (, ) p3 = (, ) p4 = (, ) p5 = (, ) p6 = (, ) p7 = +004 (+004, +004)Goodness of fit: SSE: +013 Rsquare: Adjusted Rsquare: RMSE: +006。 一次擬合 其結(jié)果如圖7所示。General model Gauss1: f(x) = a1*exp(((xb1)/c1)^2)Coefficients (with 95% confidence bounds): a1 = +005 (+005, +005) b1 = +005 (+005, +005) c1 = +005 (+005, +005)Goodness of fit: SSE: +014 Rsquare: Adjusted Rsquare: RMSE: +006圖7 一次擬合圖8二次擬合 二次擬合其結(jié)果如圖8所示。General model Gauss2: f(x) = a1*exp(((xb1)/c1)^2) + a2*exp(((xb2)/c2)^2)Coefficients (with 95% confidence bounds): a1 = +004 (8011, +004) b1 = +005 (+005, +005) c1 = +004 (+004, +005) a2 = +005 (+005, +005) b2 = +005 (+005, +005) c2 = +005 (+005, +005)Goodness of fit: SSE: +014 Rsquare: Adjusted Rsquare: RMSE: +006 三次擬合其結(jié)果如圖9所示。General model Gauss3: f(x) = a1*exp(((xb1)/c1)^2) + a2*exp(((xb2)/c2)^2) + a3*exp(((xb3)/c3)^2)Coefficients (with 95% confidence bounds): a1 = +008 (+072, +072) b1 = +005 (+067, +067) c1 = 9194 (+066, +066) a2 = +005 (+006, +006) b2 = +005 (+004, +005) c2 = +004 (+005, +005) a3 = +005 (+006, +006) b3 = +005 (+005, +005) c3 = +005 (+005, +005)Goodness of fit: SSE: +014 Rsquare: Adjusted Rsquare: RMSE: +0
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