An analysis of subjective forest information with nonlinear engineering methods: Selection of trees to be thinned using artificial neural network

Nihon Ringakkai Shi/Journal of the Japanese Forestry Society

Volumn 79, Issue 3, 1997, Pages 143-149

  Minowa, Y ^a  

^a KYOTO PREFECTURAL UNIVERSITY   (Japan)

Author keywords

back propagation; information on location of trees; neural network; selection of thinning trees; subjective forest information

Indexed keywords

EID: 85010165266     PISSN: 0021485X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (1)

1. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986) Learning representations by back propagating errors. Nature 323: 533-536.