Building material prices forecasting based on least square support vector machine and improved particle swarm optimization

2018 ◽  
Vol 15 (3) ◽  
pp. 196-212 ◽  
Author(s):  
Bi-qiu Tang ◽  
Jia Han ◽  
Guo-feng Guo ◽  
Yi Chen ◽  
Sai Zhang
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Building Material ◽  
Particle Swarm ◽  
Least Square ◽  
Support Vector ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

Research on Particle Swarm Optimization Least Square Support Vector Machine for Short-Term Wind Speed Prediction

2014 ◽  
Vol 511-512 ◽  
pp. 927-930
Author(s):  
Shuai Zhang ◽  
Hai Rui Wang ◽  
Jin Huang ◽  
He Liu
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Wind Speed ◽  
Particle Swarm ◽  
Least Square ◽  
Support Vector ◽  
Short Term ◽  
Swarm Optimization ◽  
Wind Speed Prediction ◽  
Speed Prediction

In the paper, the forecast problems of wind speed are considered. In order to enhance the redaction accuracy of the wind speed, this article is about a research on particle swarm optimization least square support vector machine for short-term wind speed prediction (PSO-LS-SVM). Firstly, the prediction models are built by using least square support vector machine based on particle swarm optimization, this model is used to predict the wind speed next 48 hours. In order to further improve the prediction accuracy, on this basis, introduction of the offset optimization method. Finally large amount of experiments and measurement data comparison compensation verify the effectiveness and feasibility of the research on particle swarm optimization least square support vector machine for short-term wind speed prediction, Thereby reducing the short-term wind speed prediction error, very broad application prospects.

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