A method for selecting the number of hidden units using correlation of hidden units in an artificial neural network model and a method for predicting hydrological climate variables using the hidden unit

摘要

The present invention relates to a method for selecting the number of hidden units using the correlation of hidden units in an artificial neural network model and a method for predicting hydroclimatic variables using the same. More specifically, the correlation of hidden units in an artificial neural network model (MI, Mutual Information) The number of hidden units is selected, and climate factor time series data is analyzed using an artificial neural network model having the selected number of hidden units to output hydrological climate variables. It relates to a selection method and a hydroclimatic variable prediction method using the same.