Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation

Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation

Future projections of municipal solid waste (MSW) generation trends can resolve data inadequacy in formulating a sustainable MSW management framework. Artificial neural network (ANN) has been recently adopted to forecast MSW generation, but the reliability and validity of the stochastic forecast are...

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Bibliographic Details
Main Authors: Hoy, Zheng Xuan, Woon, Kok Sin, Chin, Wen Cheong, Hashim, Haslenda, Fan, Yee Van
Format: Article
Published: Elsevier Ltd 2022
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/103391/
http://dx.doi.org/10.1016/j.compchemeng.2022.107946
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/103391/
http://dx.doi.org/10.1016/j.compchemeng.2022.107946

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