Development of an artificial neural network model for the estimation of chlorophyll-a in lakes

Karul, Cüneyt


Case studies on the use of neural networks in eutrophication modeling
Karul, C; Soyupak, S; Cilesiz, AF; Akbay, N; Germen, E (2000-10-30)
Artificial neural networks are becoming more and more common to be used in development of prediction models for complex systems as the theory behind them develops and the processing power of computers increase. A three layer Levenberg-Marquardt feedforward learning algorithm was used to model the eutrophication process in three water bodies of Turkey (Keban Dam Reservoir, Mogan and Eymir Lakes). Despite the very complex and peculiar nature of Keban Dam, a relatively good correlation (correlation coefficient...
A new approach to mathematical water quality modeling in reservoirs: Neural networks
Karul, C; Soyupak, S; Germen, E (1998-01-01)
Neural Networks are becoming more and more valuable tools for system modeling and function approximation as computing power of microcomputers increase. Modeling of complex ecological systems such as reservoir limnology is very difficult since the ecological interactions within a reservoir are difficult to define mathematically and are usually system specific. To illustrate the potential use of Neural Networks in ecological modeling, a software was developed to train the data from Keban Dam Reservoir by back...
Simulation of chlorine decay in water supply networks.
Özdemir, Osman N; Sevük, Süha; Ger, A. Metin; Department of Civil Engineering (1997)
Development of algorithms and software for forecasting, nowcasting and variability of TEC
Tulunay, E; Senalp, ET; Cander, LR; Tulunay, YK; Bilge, AH; Mizrahi, E; Kouris, SS; Jakowski, N (2004-01-01)
Total Electron Content (TEC) is an important characteristic of the ionosphere relevant to communications. Unpredictable variability of the ionospheric parameters due to various disturbances limits the efficiencies of communications, radar and navigation systems. Therefore forecasting and nowcasting of TEC are important in the planning and operation of Earth-space and satellite-to-satellite communication systems. Near-Earth space processes are complex being highly nonlinear and time varying with random varia...
The study of the Sapanca Lake ecosystem: sediment characterization and water quality modelling
Bakan, Gülfem; Balkaş, Turgut I.; Department of Environmental Engineering (1995)
Citation Formats
C. Karul, “Development of an artificial neural network model for the estimation of chlorophyll-a in lakes,” Ph.D. - Doctoral Program, Middle East Technical University, 1999.