TSU is creating a neural network for forecasting the spring flood

The Faculty of Geology and Geography and the Faculty of Innovative Technologies are testing a neural network created to assess the risk to human settlements during the spring flood. A computer program analyzes data accumulated over more than 20 years, identifies trends, and correlates them with operational hydrometeorological data. After the results are processed, the neural network provides information on the dynamics of the water level in the risk zone and predicts which areas may be flooded in the next 48 hours.

Read more: http://en.tsu.ru/news/tsu-is-creating-a-neural-network-for-forecasting-the-spring-flood/