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Title: Applications of Radial Basis Neural Networks for Area Forest
Authors: Castellanos, Angel
Martinez Blanco, Ana
Palencia, Valentin
Keywords: Neural Networks
Radial Basis Functions
Forest Inventory
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper proposes a new method using radial basis neural networks in order to find the classification and the recognition of trees species for forest inventories. This method computes the wood volume using a set of data easily obtained. The results that are obtained improve the used classic and statistical models.
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 3

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