Segmented Auxiliary Power Model Based on Particle Swarm Optimization

Autor:	Fu Liang Deng, Hai Sheng Liu, Shao Chen Wu
Rok vydání:	2014
Předmět:	Iteratively reweighted least squares Recursive least squares filter Engineering Mathematical optimization business.industry Auxiliary power unit General Engineering Particle swarm optimization Segmentation business
Zdroj:	Advanced Materials Research. :1321-1324
ISSN:	1662-8985
Popis:	The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::65f57f1f4bf7224545085075320066d6 https://doi.org/10.4028/www.scientific.net/amr.1044-1045.1321 Zobrazit plný text záznamu