Paper Info
Title
Genetic Projection Pursuit Interpolation Model for Social Renewability Assessment of Water Resources
Abstract
In order to resolve the non-uniformity problem of evaluation results of social renewability of water resources in cities, and to raise the evaluation result precision, a genetic projection pursuit interpolation model (GPPIM) is founded for comprehensive assessment of social renewability of water resources, which is by using Gray-encoded accelerating genetic algorithm (GAGA). Taking the 15 cities in the Yellow River basin as examples, the social renewability of water resources is assessed with 11-index system by the GPPIM, the results show that the social renewability of water resources in Xining, Baoji, Xianyang and Luoyang are weaker grade, and it is medium grade in the other cities. The levels of them are very low. And it is hard task to improve their social renewability of water resources. In addition, the GPPIM for social renewability of water resources is effective and precise, which can be used for other cluster analyses of high-dimensional data sets. Then, Gray-encoded accelerating genetic algorithm is applied to optimize projection direction of the projection pursuit interpolation model and the steps of the Gray-encoded accelerating genetic algorithm are introduced in detail.
Year
DOI
Venue
2008
10.1109/FSKD.2008.447
FSKD (5)
Keywords
Field
DocType
water resource,evaluation result precision,evaluation result,genetic algorithm,social renewability assessment,genetic projection pursuit interpolation,medium grade,projection direction,weaker grade,social renewability,projection pursuit interpolation model,water resources,city,genetic algorithms,genetics,indexes,high dimensional data,interpolation,indexation,mathematical model,acceleration,projection pursuit
Data mining,Data set,Projection pursuit,Computer science,Interpolation,Artificial intelligence,Water resources,Genetic algorithm,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Chunhui Li172.44
Zhifeng Yang264.75
G. H. Huang341649.89
Yanpeng Cai4153.56