长江科学院院报2016，Vol.33Issue(9)：23-27,47,6.DOI:10.11988/ckyyb.20150635
基于LBA-PP模型的年径流丰枯分类
Wet-Dry Classification of Annual Runoff Based on LBA-PP Model
毛宗波 1刀海娅1
作者信息
- 1. 云南省水利水电勘测设计研究院，昆明 650021
- 折叠
摘要
Abstract
The wet-dry features of annual runoff depend on the size and time-history distribution characteristics of runoff itself.In view of this,we put forward a LBA-PP model of wet-dry classification of annual runoff by searching the optimum projection direction using bat algorithm (LBA)improved with a Lévy flight strategy in association with projection pursuit (PP)model.We also construct a particle swarm optimization (PSO)algorithm PP model for com-parison,with the annual runoff at Xiyang station in Yunnan Province as a case study.Results show that the LBA al-gorithm is superior to PSO algorithm,and is of good convergence accuracy,robust performance and global optimiza-tion ability.Using LBA algorithm to find the best projection direction of PP model not only improves the classifica-tion accuracy of the PP model,but also provides a new way and method for the selection of the PP model.In the LBA-PP model,the annual runoff is considered,and the time history information is distributed.The classification re-sults are more scientific and objective than those of conventional method.关键词
年径流分类/蝙蝠算法/投影寻踪模型/参数优化/Lévy飞行策略Key words
annual runoff classification/bat algorithm/projection pursuit model/parameter optimization/Lévy flight strategy分类
建筑与水利引用本文复制引用
毛宗波,刀海娅..基于LBA-PP模型的年径流丰枯分类[J].长江科学院院报,2016,33(9):23-27,47,6.
