Simulated Annealing Based Hybrid Forecast for Improving Daily Municipal Solid Waste Generation Prediction

A simulated annealing (SA) based variable weighted forecast model is proposed to combine and weigh local chaotic model, artificial neural network (ANN), and partial least square support vector machine (PLS-SVM) to build a more accurate forecast model. The hybrid model was built and multistep ahead p...

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Detalles Bibliográficos
Autores principales: Song, Jingwei, He, Jiaying, Zhu, Menghua, Tan, Debao, Zhang, Yu, Ye, Song, Shen, Dingtao, Zou, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4181496/
https://www.ncbi.nlm.nih.gov/pubmed/25301508
http://dx.doi.org/10.1155/2014/834357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4181496/
https://www.ncbi.nlm.nih.gov/pubmed/25301508
http://dx.doi.org/10.1155/2014/834357

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