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                <identifier>oai:data.mendeley.com/6pf8ny2w8z.1</identifier>
                <datestamp>2025-11-19T13:10:12Z</datestamp>
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    <dc:creator>Moghaddam, Majid</dc:creator>
    <dc:title>Surface Evolution Machine Learning Python Codes</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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

</dc:description>
    <dc:subject>Inverse Problem</dc:subject>
    <dc:subject>Micromachining</dc:subject>
    <dc:subject>Abrasive Waterjet Machining</dc:subject>
    <dc:subject>Applied Machine Learning</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/6pf8ny2w8z.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/6pf8ny2w8z.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2025-11-19T13:10:12Z</dc:date>
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