Analyzing a combination of factors for thinning trees with a neural network

Journal of Forest Research

Volumn 6, Issue 2, 2001, Pages 95-100

  Minowa, Y ^a  

^a KYOTO PREFECTURAL UNIVERSITY   (Japan)

Author keywords

Back propagation method; Combination of factors; Information criterion; Neural network; Selection of trees for thinning

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

CROWN VOLUME; INFORMATION CRITERION;

FORESTRY;

THINNING; TREES;

EID: 0035897487     PISSN: 13416979     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02762494     Document Type: Article

References (9)

1. Short-term prediction of air pollution concentration by a neural network
2. An attempt on model selection for neural networks
3. An analysis of subjective forest information with nonlinear engineering methods: Selection of trees to be thinned using artificial neural network
4. A statistical model selection for a neural network employed for tree thinning selection
5. Learning representaions by back propagating errors
6. Data fitting by multilayered neural network: Decision of network structure via information criterions
7. Multilayer feedforward neural networks construction program NEURO92