numerical_fea

数值有限元分析（Numerical Finite Element Analysis，简称Numerical FEA）是一种利用数值计算方法对复杂的结构进行力学分析的方法。它可以用于计算机模拟各种工程结构的应力、应变、位移等物理量，以及对其进行优化设计。Numerical FEA在工程设计和分析中广泛应用，例如航空、汽车、建筑、电子等领域。

Numerical FEA的基本思路是将结构分割成许多小的单元，然后对每个单元进行数值计算。每个单元的形状和尺寸可以根据结构的几何形状和分析要求来选择。通过将这些单元的计算结果组合起来，可以得到整个结构的应力、应变等物理量。

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相关问题

for fea in numerical_fea: data_train = data_train[data_train[fea+'_outliers']=='正常值'] data_train = data_train.reset_index(drop=True)

This code snippet loops over the numerical features in a dataset and filters out any rows where the feature's outlier status is labeled as "正常值" (which likely means "normal value" in Chinese). The filtered dataset is then reset so that the row indices are sequential.

It's possible that the dataset has been preprocessed prior to this code being run, with a separate step that identifies and labels outliers for each numerical feature. Without knowing more about the dataset and the preprocessing steps, it's hard to say exactly what this code is doing or what the purpose of filtering out outliers might be.