Watershed Similarity Analysis Using Integration of Gis and Unsupervised-Supervised Artificial Neural Networks

A coupled model tree–genetic algorithm scheme for flow and water quality predictions in watersheds

“…Chiang et al (2004) compared the performance of different types of neural network structures for rainfall-runoff modeling. Hsieh et al (2004) integrated a geographical information system with an artificial neural network to quantify the similarities of watershed characteristics as an input to rainfallrunoff models. Iorgulescu and Beven (2004) used regression trees for modeling watershed rainfall-runoff relationships.…”

An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks

“…The literature suggest that the use of ANNs in the natural sciences has been steadily applied in the past decade, including a number of studies that also integrate Geographic Information System (GIS) capabilities to strengthen the overall process and provide meaningful results (Bacao et al, 2005a;Bryan, 2006;Catani et al, 2005;Dai et al, 2005;Ermini et al, 2005;Hilbert and Ostendorf, 2001;Hsieh and Jourdan, 2006;Joy and Death, 2004;Wang and Sassa, 2006). ANNs are powerful tools that are well suited for solving complex nonlinear classification problems because they enable the discovery and development of previously unknown data inter-relationships and patterns.…”

“…Artificial Neural Networks have been used in landscape classification analyses (Bacao et al, 2005a;Bryan, 2006;Ehsani, 2007;Hilbert and Ostendorf, 2001;Hsieh and Jourdan, 2006;Joy and Death, 2004;Lenz and Peters, 2006;Park et al, 2001), but they are not as commonly used as the other models previously discussed.…”