Developing a versatile artifical neural network model for estimating reservoir permeability in three

Arpat, Güven Burç


Developing a methodology for the design of water distribution networks using genetic algorithm
Gençoğlu, Gençer; Merzi, Nuri; Department of Civil Engineering (2007)
The realization of planning, design, construction, operation and maintenance of water supply systems pictures one of the largest infrastructure projects of municipalities; water distribution networks should be designed very meticulously. Genetic algorithm is an optimization method that is based on natural evolution and is used for the optimization of water distribution networks. Genetic algorithm is comprised of operators and the operators affect the performance of the algorithm. Although these operators ar...
Güneş, Çiğdem; Töre Yargın, Gülşen; Department of Industrial Design (2021-7-13)
While traditional human factors approaches have focused on efficiency, usability, and safety, emerging approaches have also focused on product experience. There is a shift from a cognitive perspective to an affective one, which concerns promoting pleasure instead of just preventing design deficiencies. There has been a growing interest in affect and pleasure in such areas as engineering design, psychology, neuroscience, human factors, and industrial design. Human Factors/Ergonomics (HF/E) approaches in avia...
Developing a feature-based edge detector using artificial networks
Arpat, Güven Burç; Tekman, Gürkan; Halıcı, Uğur; Department of Cognitive Sciences (2001)
Developing a methodology for finding network water losses using information technologies
Bektaş, Hayrettin Onur; Merzi, Nuri; Akyürek, Sevda Zuhal; Department of Geodetic and Geographical Information Technologies (2010)
This study aims to develop an integrated methodology for finding water leaks in a water distribution network. The integrated methodology is formed from SCADA System, Customer Information System (CIS), and Geographic Information System. The methodology is based on forming district-metered areas (DMA) and sub-DMAs in pressure zones by isolation of the network. Leaking spots in the network are localised by step testing within the DMA. With leak noise loggers leaking spots are localized with an increased accura...
Developing an evaluation model for multimedia learning materials by using eye-tracking
Altan, Tuğba; Çağıltay, Kürşat (2018-09-07)
Citation Formats
G. B. Arpat, “Developing a versatile artifical neural network model for estimating reservoir permeability in three,” Middle East Technical University, 2000.