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Boateng et al., 2021 - Google Patents

Predicting building-related carbon emissions: A test of machine learning models

Boateng et al., 2021

Document ID
5342907304985281726
Author
Boateng E
Twumasi E
Darko A
Tetteh M
Chan A
Publication year
Publication venue
Enabling AI applications in data science

External Links

Snippet

This chapter evaluates and compares the performance of six machine-learning (ML) algorithms in predicting China's building-related carbon emissions. The models took into account five input parameters influencing building-related CO 2 emissions: urbanisation …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management

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