… : forest persistence versus deforestation. Artificial neural networks approach was found to …
to predict the location of deforestation using an artificial neural networks (ANNs) approach. …

… deforestation using an artificial neural network due to its significant potential for the development
of nonlinear complex models. … a multi-layer neural network to predict deforestation. The …

… using multi-temporal remote sensing data and a multi-layer perceptron neural network (…
The combined use of remote sensing and spatial modeling techniques provides an effective …

… predict the spatial distribution of deforestation in western Iran. … digital deforestation maps
which locate deforestation and … deforestation from 1988 to 2007 and possibility of modeling …

… In the GIS environment, were prepared the effective factors in the process of deforestation
(independent variables); then by using MLP, the deforestation process in the years under …

… This study has assessed forest cover changes, rate of deforestation, levels of fragmentation
… neural network modeling was used for predicting the spatial distribution of deforestation. …

… of deforestation using artificial neural networks and satellite imagery. Modeling deforestation
… In this research we utilize GIS by integrating it RS and implementing neural network in it. …

… of multilayer perceptron neural nets (MLPnn) and three hybrid ensemble models, ie MLP-…
For modelling the DP in this study using ensemble models ArcGIS and R-studio were used. …

… that deforested area … using the Neural Network Toolbox™ for Matlab®, which is considered
an excellent environment for the processing of large datasets and numerical modeling. The …

… and estimating the spatial distribution of deforestation. The results show that about 19,294 …
are deforested in the 19 years. Modeling results also indicate that more deforestation occurred …