| Popis: |
To prevent forest fires, predictions need to be made to find out areas of land that have the potential to burn based on meteorological conditions obtained from the sensor, so that it is expected to reduce the spread of fire before the fire spreads. Meteorological conditions used in this study to predict areas of land that will be affected by forest fires are temperature, wind, humidity, and rainfall. The method used in this study is a neural network with Extreme Learning Machines (ELM) training model. To improve the performance of the ELM method, in this study several tests will be carried out so that the resulting predictions are the best. |
