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Description
Source code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
Dataset file
mlm1-5_s1-3_tabular-lstm_qnm_opt_sc.zip
31.3 kB,
S3 ETag
3f17f8f61a582e04cc81714b48c4922c-1,
downloads: 12
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File details
- License:
-
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CC BYAttribution
Details
- Year of publication:
- 2023
- Verification date:
- 2023-08-29
- Dataset language:
- English
- Fields of science:
-
- civil engineering, geodesy and transport (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- DOI:
- DOI ID 10.34808/2shm-9s85 open in new tab
- Verified by:
- Gdańsk University of Technology
Keywords
- applied machine learning
- buildings
- cement
- concrete mix design
- concrete strength prediction
- concrete
- construction industry
- data mining
- green building
- innovation
- sustainability
- sustainable development
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