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Data · dataset · 2025

Surface Evolution Machine Learning Python Codes

Listed in Teesside University Research Data Repository

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.

Description

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

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/6pf8ny2w8z.114 h agoJSON v1
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concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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