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第一题分类准确率100%;第二题含温度模型拟合效果显著高于原始SE方程;第三题三种方式建模/最优化;第四题拟合的R^2达到0.9999913;第五题计算得到Pareto Front和HV

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IRilyDonKnow/2024-E-Question-e-of-the-2024-China-Huawei-Cup-postgraduate-mathematical-modeling-competition

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-- coding: utf-8 --

""" Created on Thu Sep 26 23:16:08 2024

@author: Realunknown """

All codes and results is saved at this file folder. The model and the original data are too large to upload, need to contact [email protected].

Question 1: Fig.4.3 and Table 4.1: Run the script data_cleaning.py Fig.4.4: Run the script data_analysis.py Fig.4.5, Fig.4.6, Fig.4.7: Run the script data_analysis.py Fig.4.8: Run the script df_relationship.py and data_features_selection.py Fig.4.9: Run the script data_features_selection.py Fig.4.10: Run the script model_selection.py Fig.4.11: Run the script data features_selection_test.py

Question 2: Fig.5.2: Run the script scatter.py Fig.5.4: Run the script multiple_regression.py

Question 3: Fig.6.2: Run the script regression_nonlinear_fit_optimzation.py Table 6.1: Run the scirpt symbol_regressor.py Fig.6.4: Run the script regress.py Fig.6.5: Run the scirpt painting_ablation.py Fig.6.6: Run the script bayes_features_range.py Fig.6.7: Run the script bayes.py

Question 4: Fig.7.2: Run the script regress.py Fig.7.3,Fig.7.4: Run the scipt painting_compare.py

Question 5: Fig.8.2: Run the script nsga_2_for_core_loss.py

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第一题分类准确率100%;第二题含温度模型拟合效果显著高于原始SE方程;第三题三种方式建模/最优化;第四题拟合的R^2达到0.9999913;第五题计算得到Pareto Front和HV

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