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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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Podrobná bibliografie
Hlavní autoři: Song, Jingwei, He, Jiaying, Zhu, Menghua, Tan, Debao, Zhang, Yu, Ye, Song, Shen, Dingtao, Zou, Pengfei
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi Publishing Corporation 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4181496/
https://ncbi.nlm.nih.gov/pubmed/25301508
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/834357
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