Now showing items 11-20 of 31
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling
(Springer Netherlands, 2018)
Genetic programming (GP) is recognized as a robust machine learning method for rainfall-runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of runoff series is not taken carefully into ...
Failure mechanisms and cracking performance of T-shaped SCC beam-column connections at top floor: test results and FE modeling
In recent decades, self-compacting concrete (SCC) has gradually gained popularity based on its unique workability without any internal and external vibration. SCC development must ensure an acceptable level of balance ...
Genetic programming in water resources engineering: a state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and ...
Facility location determined by an iterative technique
(1st Mediterranean International Conference of Pure and Applied Mathematics and Related Areas 2018 (MICOPAM 2018), 2018)
For many decades, mathematical models and methodologies have been essential in order to provide the understanding of countless engineering processes and technologies. Using mathematical models in many academic research, ...
A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea
(Environmental Monitoring and Assessment, 2020)
Location selection for offshore wind farms is a major challenge for renewable energy policy, marine spatial planning, and environmental conservation. This selection constitutes a multi-criteria decision-making problem, ...
Performance of the Whale Optimization Algorithm in Space Steel Frame Optimization Problems
(Springer Science and Business Media Deutschland GmbH, 2020)
Frame optimization that contains highly non-linear and irregular functions and discrete design variables is one of the most challenging optimization problems. Therefore, gradient-based optimization techniques cannot be ...
Transportation path assignment within the airports in Turkey
On the seismic collapse capacity of optimally designed steel braced frames
(Engineering with Computers, 2020)
The main purpose of this study is to respond to an important question in the field of structural engineering: is the seismic collapse capacity of optimally designed concentrically steel braced frames acceptable or not? The ...
A GIS‑based multi‑criteria evaluation for MSW landfill site selection in Antalya, Burdur, Isparta planning zone in Turkey
(Environmental Earth Sciences, 2020)
Defining the suitable positions for landfill sites on a regional scale is a decision-making procedure based on a number of criteria. In this study, geographic information system analysis and multi criteria decision making ...