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Proceedings Paper

Modeling training-site vegetation-coverage probability with a random optimization procedure: an artificial neural network approach
Author(s): Biing T. Guan; George Z. Gertner; David G. Kowalski
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Paper Abstract

The main objective of this study is to examine the feasibility of applying feed-forward neural networks to estimate training site vegetation coverage probability based on past disturbance pattern and vegetation coverage history.

Paper Details

Date Published: 2 September 1993
PDF: 7 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152571
Show Author Affiliations
Biing T. Guan, Univ. of Illinois/Urbana-Champaign (United States)
George Z. Gertner, Univ. of Illinois/Urbana-Champaign (United States)
David G. Kowalski, U.S. Army Construction Engineering Research Lab. (United States)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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