FLORISTIC DIVERSITY AND EQUITABILITY IN FOREST FRAGMENTS USING ARTIFICIAL NEURAL NETWORKS
This study aimed to evaluate the predictive efficiency of Shannon index (H’) and Pielou Equitability index (J) in forest fragments from the Brazilian Cerrado biome, from the vegetation indices and landscape metrics using artificial neural networks (ANN). Feedforward networks were used and they wer...
| Main Authors: | , |
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| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade Federal de Santa Maria
2017-01-01
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| Series: | Ciência Florestal |
| Online Access: | http://www.redalyc.org/articulo.oa?id=53450420012 |