Application of Coupling Model of Projection Pursuit Partial Least-Square Regression Based on Real Coded Accelerating Genetic Algorithm in Land Use Change Forecasting
2011 ◽
Vol 347-353
◽
pp. 1774-1777
◽
Keyword(s):
Land Use
◽
In study of Land Use Change forecasting, lots of methods have been developed ,such as Markov model、BP algorithm、Canonical correlation analysis, least-squares regression analysis ,but these methods have deficiency in decision and often inadequate in sample size. In response to these deficiencies,projection pursuit Partial Least-Square Regression based on real coded accelerating genetic algorithm model is developed to analyze and predict land use change in Yanji City. The computation results show that the relative error of Coupling Model of Partial Least-Square Regression Based on Projection Pursuit is smaller than traditional Partial Least-Square Regression model’s, and it has improved the prediction precision evidently.
2004 ◽
pp. 15-20
2020 ◽
Vol 27
(35)
◽
pp. 43439-43451
◽
2013 ◽
Vol 82
◽
pp. 27-40
◽
2021 ◽
Vol 667
(1)
◽
pp. 012058
2015 ◽
Vol 71
◽
pp. 289-297
◽
2014 ◽
Vol 57
◽
pp. 242-258
◽
2020 ◽
Vol 33
(10)
◽
pp. 1633-1641
2009 ◽
Vol 620-622
◽
pp. 21-24
2005 ◽
Vol 13
(3)
◽
pp. 147-154
◽