Surface Evolution Machine Learning Python Codes

This depository contains Python codes of ANN, CNN, RF, and Regression models for forward surface evolution and ANN models for inverse problem, both with depth and width, and full profile inputs. It also contains the experimental dataset. ANN.ipynb: Forward surface evolution using ANN CNN.ipynb: Forward surface evolution using CNN Reg.ipynb: Forward surface evolution using Nonlinear Regression RF.ipynb: Forward surface evolution using Random Forest Inverse_Full_Profile.ipynb: Inverse surface evolution using full profiles of channels as inputs Inverse_depth_width.ipynb: Inverse surface evolution using depth and width of the channels as inputs Experimental_profiles_fitted.csv: Experimental Dataset本存储库包含用于正向表面演化的人工神经网络（ANN）、卷积神经网络（CNN）、随机森林（RF）与回归模型的Python代码，以及用于逆问题的人工神经网络模型代码，上述模型均支持以通道深度、宽度或完整轮廓作为输入；同时附带实验数据集。 ANN.ipynb：采用人工神经网络实现正向表面演化 CNN.ipynb：采用卷积神经网络实现正向表面演化 Reg.ipynb：采用非线性回归实现正向表面演化 RF.ipynb：采用随机森林实现正向表面演化 Inverse_Full_Profile.ipynb：以通道完整轮廓为输入的逆向表面演化 Inverse_depth_width.ipynb：以通道深度与宽度为输入的逆向表面演化 Experimental_profiles_fitted.csv：实验数据集