Stand basal area modelling for Chinese fir plantations using an artificial neural network model

• 作 者: Shaohui Che Xiaohong Tan Congw
• 机 构: KeyLaboratoryofTreeBreedingandCultivationoftheStateForestryAdministration,BeijingInstituteofEconomic
• 出 处: 林业研究:英文版
• 发表日期: 2019年5期
• 关键词: Chinese FIR BASAL area Artificial NEURAL network Support VECTOR machine Mixed-ef
• 基金项目: supported by the National Scientific and Technological Task in China(Nos.2015BAD09B0101,2016YFD0600302),National Natural Science Foundation of China(No.31570619),the Special Science and Technology Inn

Artificial neural network models are a popular estimation tool for fitting nonlinear relationships because they require no assumptions about the form of the fitting function,non-Gaussian distributions,multicollinearity,outliers and noise in the data.The p