Introducing an evolutionary-decomposition model for prediction of municipal solid waste flow: application of intrinsic time-scale decomposition algorithm

Introducing an evolutionary-decomposition model for prediction of municipal solid waste flow: application of intrinsic time-scale decomposition algorithm

Owing to the importance of municipal waste as a determining factor in waste management, developing data-driven models in waste generation data is essential. In the current study, solid waste generation is taken as the function of several parameters, namely month, rainfall, maximum temperature, avera...

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Bibliographic Details
Main Authors: Linyuan Fan, Maryam Abbasi, Kazhal Salehi, Shahab S. Band, Kwok-Wing Chau, Amir Mosavi
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
waste management
artificial intelligence
intrinsic time-scale decomposition (itd) algorithm
gene expression programming
machine learning
circular economy (ce)
Online Access:http://dx.doi.org/10.1080/19942060.2021.1945496

Internet

http://dx.doi.org/10.1080/19942060.2021.1945496

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