A neural network approach to identify forest stands susceptible to wind damage

By M. Hanewinkel, Wenchao Zhou, C. Schill. 2004

68 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4d0356cb799d8b651f3ec387e76b1904e10d240b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kamil Král
2. L. Hort
3. T. Vrška
4. P. Šamonil
5. D. Adam

Citations in the corpus

• Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method (2010, methodology): “ANNs are computational modelling tools inspired by the human brain and are able to learn from incomplete, disturbed and noisy data sets (Hanewinkel et al. 2004).”