TY  - JOUR
AU  - Bede-Fazekas, Ákos
AU  - Horváth, Levente
AU  - Trájer, Attila János
AU  - Gregorics, Tibor
TI  - An ArcGIS Tool for Modeling the Climate Envelope with Feed-Forward ANN
JF  - APPLIED ARTIFICIAL INTELLIGENCE
J2  - APPL ARTIF INTELL
VL  - 29
PY  - 2015
IS  - 3
SP  - 233
EP  - 242
PG  - 10
SN  - 0883-9514
DO  - 10.1080/08839514.2015.1004612
UR  - https://m2.mtmt.hu/api/publication/2876693
ID  - 2876693
AB  - This paper is about the development and the application of an ESRI ArcGIS tool which implements multi-layer, feed-forward artificial neural network (ANN) to study the climate envelope of species. The supervised learning is achieved by backpropagation algorithm. Based on the distribution and the grids of the climate (and edaphic data) of the reference and future periods the tool predicts the future potential distribution of the studied species. The trained network can be saved and loaded. A modeling result based on the distribution of European larch (Larix decidua Mill.) is presented as a case study.
LA  - English
DB  - MTMT
ER  -