A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas.
Xuan Truong TranViet-Ha NhuDoan Thi Nam PhuongLe Thanh NghiNguyen Nhu HungPham Viet HoaDieu Tien BuiPublished in: Remote. Sens. (2023)
Keyphrases
- neural network
- geographic information systems
- spatial data
- spatial data mining
- spatial databases
- spatial analysis
- geographical information systems
- spatial reasoning
- prediction model
- urban areas
- prediction accuracy
- artificial neural networks to predict
- spatio temporal
- geographic data
- pattern recognition
- spatial clustering
- spatial relationships
- spatial information
- gis data
- spatial and temporal
- databases
- query optimization
- self organizing maps
- multi layer perceptron
- spatial queries
- feed forward
- prediction algorithm
- neural network ensemble
- forest fires
- back propagation
- prediction error
- fuzzy logic
- artificial neural networks
- inter layer
- image sequences
- data analysis
- spatial correlation
- predictive model
- fault diagnosis