Time series-based soft computing tool for wicked water problems

摘要

The limitations of conventional time series techniques have forced researchers to develop innovative and predictive soft computing methods (Jain & Kumar, 2007; Zounemat-Kermani & Teshnehlab, 2008). Here, a predictive model based on soft computing techniques is presented and implemented on Baitarani River (India). This river is one of the major rivers of the Orison state in India, and it drains an area of 14 218 km2 into the Bay of Bengal. The average annual rainfall is 1187 mm. The rainfall in the basin mainly comes from the southwest monsoon and lasts from June to October.