Comparison of three methods for constructing generalized height-diameter curve
[Objective] The advantages of three methods for constructing generalized height-diameter curve were compared to provide basis for choosing optimal method.[Method] The data from 29 Cunninghamia lanceolata plots located in national forest farm of Jiangle in FuJian were used to develop the generalized height-diameter curve for C.lanceolata.The curve was built by traditional nonlinear model,BP neural network model and nonlinear mixed model,respectively.The simulation effects of three models were compared using coefficient of determination (R2) ,root mean square error (RMSE),and absolute mean error (E).[Result] Based on fitting accuracy, the coefficients of determination of nonlinear mixed model, BP neural network model and traditional nonlinear model were 0.916 1,0.904 8,and 0.889 7,the root mean square errors were 1.652 9,1.761 2,and 1.895 4,and the absolute mean errors were 1.205 9,1.291 7,and 1.400 1,respectively.Based on prediction precise, the coefficients of determination were 0.941 5,0.935 2,and 0.918 3,and the root mean square errors were 1.361 8,1.432 2,and 1.609 0,and the absolute mean errors were0.989 8,1.030 5,and 1.142 8, respectively.[Conclusion] All three methods could simulate height growth of C.lanceolata well.The simulation and prediction accuracies of BP neural network model and nonlinear mixed model were better than that of traditional nonlinear model.Nonlinear mixed model was slightly better than BP neural network model.
Cunninghamia lanceolatageneralized height-diameter modeltraditional nonlinear modelBP neural networknonlinear mixed model
NETL
NSTL
万方数据
维普
