Forecasting land-use changes with the use of neural networks and GIS.
Athanasios T. VafeidisSotirios KoukoulasIoannis GatsisKaterina GkoltsiouPublished in: IGARSS (2007)
Keyphrases
- geographic information systems
- neural network
- spatial data
- urban land
- rainfall runoff
- spatial analysis
- remote sensing
- backpropagation neural networks
- urban areas
- pattern recognition
- artificial neural networks
- land cover
- spatial data mining
- data modeling
- multilayer perceptron
- back propagation
- geographical information systems
- spatiotemporal databases
- short term
- grey model
- multi layer
- spatial databases
- road network
- fuzzy logic
- gis data
- chaotic time series
- databases
- financial forecasting
- web gis
- urban growth
- genetic algorithm
- forecasting model
- support vector regression
- neural nets
- satellite images
- feed forward
- fault diagnosis
- predictive model
- google earth
- spatial relationships
- recurrent neural networks
- radial basis function
- multispectral
- land cover classification
- data management