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

• Published in: Forests Vol. 11; no. 4; p. 442
• Main Authors: Shen, Jianbo, Hu, Zongda, Sharma, Ram P., Wang, Gongming, Meng, Xiang, Wang, Mengxi, Wang, Qiulai, Fu, Liyong
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.04.2020
• Subjects: k-fold cross-validation; Levenberg–Marquardt algorithm; mixed-effects model; optimal neural network height-diameter model; traditional height-diameter functions

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...