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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Materias: | |
| 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 |