I-pred. Flows flow prediction system based on neural networks

The application of mathematical models in the management of hydrographic basins have demanding information requirements and have not been developed to be applied in mountain regions. For this reason it is necessary to search and implement models that do not have these requirements and that allow establishing relationships between the input data and the output data in a hydrographic basin. Computer techniques of artificial intelligence allow establishing relationships between the input data and the output data in a hydrographic basin. The project seeks to evaluate different models of RNA artificial networks in order to select one and implement it, this is intended to obtain the possibility of manipulating each of the connections of the neuronal network model to seek a rapid convergence and the minimization of the margin of error. Once the model is calibrated, the prediction of flows for time intervals of less than 24 hours is intended.

FIFTH UNIVERSITY RESEARCH PROJECT COMPETITION