PREDICATING THE DURATIONS OF IRREGATION CHANNELS PROJECTS IN IRAQ BY USING ANN MODELLING

Abstract

The average accurate prediction of the duration of an irrigation channel project represents a critical factor for the feasibility study of this project. This research aims to develop an artificial neural network model for predicting the duration of irrigation channel projects at early stage, where no detailed information is available. Statistics Package Social Sciences (SPSS) program was used as a suitable environment for developing the proposed model. The required field data was collected from 50 Irrigation Channel project in Iraq. Validity of ANN model clearly showed that it has a excellent prediction capability with an average accuracy of 93.5%.