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2 September 1993 Modeling training-site vegetation-coverage probability with a random optimization procedure: an artificial neural network approach
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Biing T. Guan, George Z. Gertner, and David G. Kowalski "Modeling training-site vegetation-coverage probability with a random optimization procedure: an artificial neural network approach", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152571
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