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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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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi Publishing Corporation
2014
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| 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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