Applications of Radial Basis Neural Networks for Area Forest
| Data(s) |
07/12/2009
07/12/2009
2007
|
|---|---|
| Resumo |
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. |
| Identificador |
1313-0463 |
| Idioma(s) |
en |
| Publicador |
Institute of Information Theories and Applications FOI ITHEA |
| Palavras-Chave | #Neural Networks #Clustering #Radial Basis Functions #Forest Inventory |
| Tipo |
Article |
