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Journal: Forest Science ×Author: J. Simons ×Clear All Filters
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Forest Science · 2004 · Vol. 50 · Issue 2 · Springer
Artificial neural network (ANN) methods are used to predict forest characteristics. The data source is the Southeast Alaska (SEAK) Grid Inventory, a ground survey compiled by the USDA Forest Service at several thousand sites. The main objective of this article is to predict characteristics at unsurveyed locations between grid sites. A secondary objective is to evaluate the relative performance of different ANNs. Data from the...