The Classification of Log Decay Classes and an Analysis of Their Physical and Chemical Characteristics Based on Artificial Neural Networks and K-Means Clustering - Wen, Wen; Zhang, Wenjun; He, Shirong; Hu, Haitao; Qiao, Hailiang; Wang, Xiao; Rao, Nan; Yuan, Jie (Forests, 2023)
Keywords: Artificial neural networks; Betula utilis subsp. albosinensis; Biodegradation; Biodiversity; Cellulose; Classification; Cluster analysis; Clustering; Correlation analysis; Decay; Decomposition; Dry matter; dry matter content; Ecosystems; Forests; Hardness; humans; Larix; Lignin; Microorganisms; Moisture content; Moisture effects; Neural networks; Physiological aspects; Pinus tabuliformis; Plant species; prediction; quantitative analysis; Quercus; Reliability; Respiration; Surface properties; Trees; Variance analysis; Vector quantization; Wood; China; Qinling Mountains