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Modeling Of Lattice Parameters Of The γ And γ' Phases Of The Superalloys With Base Nickel By Using A Multiple Linear Regression Analysis

机译:基于多元线性回归分析的镍基高温合金γ和γ′相晶格参数建模

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In the present work the lattice parameters of the γ and γ' phases of the nickel base superalloys have been modeled by using a multiple linear regression (MLR) analysis. The most significant parameters were selected by means of a procedure of genetic algorithm, as result linear combinations were obtained from 2 to 13 variables. Both models were validated by computing the Q~2 statistic (cross-validation coefficient). The values of Q~2 were determined by two tests of cross-validation: (1) with a datum forming part of the test set and (2) with a third of the datum forming part of the test set, this procedure is repeated until each independent datum has been omitted at least once. The values of Q~2 for the obtained optimal models are approximately 0.97 and 0.95 for the phase γ and γ', respectively, indicating a good correlation.
机译:在本工作中,已通过使用多元线性回归(MLR)分析对镍基高温合金的γ和γ'相的晶格参数进行了建模。通过遗传算法选择最重要的参数,结果从2至13个变量获得了线性组合。通过计算Q〜2统计量(交叉验证系数)验证了两个模型。 Q〜2的值由两个交叉验证测试确定:(1)使用基准构成测试集的一部分,(2)使用基准构成测试集的三分之一的一部分,重复此过程直到每个独立基准至少已被省略一次。对于相位γ和γ',所获得的最优模型的Q〜2值分别约为0.97和0.95,表明具有良好的相关性。

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