Modeling Height–Diameter Relationship for Poplar Plantations Using Combined-Optimization Multiple Hidden Layer Back Propagation Neural Network

Modeling Height–Diameter Relationship for Poplar Plantations Using Combined-Optimization Multiple Hidden Layer Back Propagation Neural Network

Relationship of total height and diameter at breast height (hereafter diameter) of the trees is generally nonlinear, and therefore has complex characteristics, which can be accurately described by the height-diameter model developed using the back propagation (BP) neural network approach. The multip...

Full description

Bibliographic Details
Main Authors: Jianbo Shen, Zongda Hu, Ram P. Sharma, Gongming Wang, Xiang Meng, Mengxi Wang, Qiulai Wang, Liyong Fu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Forests
Subjects:
Levenberg–Marquardt algorithm
<i>k</i>-fold cross-validation
traditional height-diameter functions
mixed-effects model
optimal neural network height-diameter model
Online Access:https://www.mdpi.com/1999-4907/11/4/442

Internet

https://www.mdpi.com/1999-4907/11/4/442

Similar Items