基于分数阶微分的土壤全氮高光谱反演
|
陈昊宇, 项磊, 高贺, 牟金燚, 索晓晶, 滑博伟
|
Hyperspectral inversion of total nitrogen content in soils based on fractional order differential
|
CHEN Haoyu, XIANG Lei, GAO He, MU Jinyi, SUO Xiaojing, HUA Bowei
|
|
表5 BP神经网络预测模型
|
Tab.5 BP neural network prediction model
|
|
阶数① | 建模集 | 验证集 | RPD | R2 | RMSE | R2 | RMSE | 0 | 0.58 | 0.25 | 0.58 | 0.31 | 1.06 | 1 | 0.66 | 0.23 | 0.64 | 0.22 | 1.50 | 1.1 | 0.75 | 0.16 | 0.71 | 0.16 | 2.06 | 1.2 | 0.74 | 0.19 | 0.65 | 0.23 | 1.43 | 1.3 | 0.73 | 0.19 | 0.56 | 0.21 | 1.57 | 1.4 | 0.75 | 0.45 | 0.51 | 0.31 | 1.06 | 1.5 | 0.69 | 0.22 | 0.58 | 0.3 | 1.10 | 1.6 | 0.75 | 0.20 | 0.53 | 0.31 | 1.06 | 1.7 | 0.69 | 0.47 | 0.63 | 0.28 | 1.18 | 1.8 | 0.60 | 0.25 | 0.63 | 0.29 | 1.14 | 1.9 | 0.54 | 0.26 | 0.37 | 0.33 | 1.00 | 2 | 0.53 | 0.26 | 0.46 | 0.32 | 1.03 |
|
|
|