A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas - Truong, Tran Xuan; Nhu, Viet-Ha; Phuong, Doan Thi Nam; Nghi, Le Thanh; Hung, Nguyen Nhu; Hoa, Pham Viet; Bui, Dieu Tien (Remote sensing (Basel, Switzerland), 2023)
Keywords: Accuracy; Air quality; Algorithms; Artificial intelligence; Artificial neural networks; Comparative analysis; Decision trees; Deep learning; deep neural networks; El Nino; fire hazard; Fire hazards; Forest & brush fires; forest fire; Forest fire research; Forest fires; forests; Geographic information systems; GIS; Land use; Land use management; Land use planning; Machine learning; Mathematical functions; Mathematical models; Methods; Modelling; Natural environment; Neural networks; Optimization; Performance prediction; prediction; Prediction models; Programming languages; R&D; Regression analysis; Remote sensing; Research & development; Risk assessment; spatial data; Statistical analysis; Support vector machines; sustainable land management; TensorFlow; Tropical forests; Variables; Vietnam; Vietnam