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...
Saved in:
Main Authors: | Jingwei Song, Jiaying He, Menghua Zhu, Debao Tan, Yu Zhang, Song Ye, Dingtao Shen, Pengfei Zou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/834357 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecast generation model of municipal solid waste using multiple linear regression
by: J.A. Araiza-Aguilar, et al.
Published: (2020-01-01) -
Municipal solid wastes quantification and model forecasting
by: Y. Teshome, et al.
Published: (2023-04-01) -
Application of Fly Ash and Slag Generated by Incineration of Municipal Solid Waste in Concrete
by: Cong Zeng, et al.
Published: (2020-01-01) -
Gasification of Municipal Solid Waste as an Alternative Municipal Solid Waste Management: A Case Study of Kabale Kigezi District.
by: Kijjambu, Isaac Newton
Published: (2025) -
Suitability assessment for handling methods of municipal solid waste
by: B. Seng, et al.
Published: (2018-04-01)