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Adaptive Approach for a Maximum Entropy Algorithm in Ecological Niche Modeling

Rodrigues, E. S. C. ; Rodrigues, F. A. ; Rocha, R. L. A. ; Correa, P. L. P.

Revista IEEE América Latina, 2011-06, Vol.9 (3), p.331-338

Los Alamitos: IEEE

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Título:
Adaptive Approach for a Maximum Entropy Algorithm in Ecological Niche Modeling
Autor: Rodrigues, E. S. C. ; Rodrigues, F. A. ; Rocha, R. L. A. ; Correa, P. L. P.
Assuntos: Adaptation model ; Adaptive algorithms ; Adaptive systems ; Algorithms ; Biological ; Biological system modeling ; Convergence ; Data models ; Ecological niches ; Entropy ; Inserts ; Mathematical models ; Maximum entropy ; Maximum Entropy methods ; Predictive models ; Probability distribution
É parte de: Revista IEEE América Latina, 2011-06, Vol.9 (3), p.331-338
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: This paper presents an Adaptive Maximum Entropy (AME) approach for modeling biological species. The Maximum Entropy algorithm (MaxEnt) is one of the most used methods in modeling biological species geographical distribution. The approach presented here is an alternative to the classical algorithm. Instead of using the same set features in the training, the AME approach tries to insert or to remove a single feature at each iteration. The aim is to reach the convergence faster without affect the performance of the generated models. The preliminary experiments were well performed. They showed an increasing on performance both in accuracy and in execution time. Comparisons with other algorithms are beyond the scope of this paper. Some important researches are proposed as future works.
Editor: Los Alamitos: IEEE
Idioma: Inglês

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Adaptive Approach for a Maximum Entropy Algorithm in Ecological Niche Modeling

Rodrigues, E. S. C. ; Rodrigues, F. A. ; Rocha, R. L. A. ; Correa, P. L. P.

Los Alamitos: IEEE

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