Artificial neural networks and regression analysis for volume estimation in native species
نویسندگان
چکیده
ABSTRACT Modeling is an important tool to estimate forest production in planted areas. Although this issue has been studied worldwide, knowledge regarding volume measurement specific locations such as Northeast Brazil still scarce. The present study aimed evaluated the effectiveness of artificial neural networks (ANNs) and regression analysis estimating timber homogeneous stands Anadantera macrocarpa, Genipa americana, Mimosa casalpinifolia, order better predict growth these species. Both methods were suitable for individual 7-year-old with different spacing. Spurr model showed statistical results dispersion unbiased errors macrocarpa whereas Shumacher-Hall provided more accurate estimates caesalpinifolia. ANNs calibrated two neurons middle layer exhibited best fit all three As such, can be recommended volumes species analyzed area.
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ژورنال
عنوان ژورنال: Revista Brasileira de Engenharia Agricola e Ambiental
سال: 2021
ISSN: ['1415-4366', '1807-1929']
DOI: https://doi.org/10.1590/1807-1929/agriambi.v25n10p664-669