Search Results - "Kisi, Ozgur"

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree by Kisi, Ozgur

“…•The ability of LSSVM, MARS and M5Tree is investigated in modeling pan evaporation.•LSSVM models outperformed the MARS and M5Tree models in estimating pan…”
Get full text

Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models by Gholampour, Aliakbar, Mansouri, Iman, Kisi, Ozgur, Ozbakkaloglu, Togay

“…This paper investigates the application of three artificial intelligence methods, including multivariate adaptive regression splines (MARS), M5 model tree…”
Get full text

Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method by Ali, Rawshan, Kuriqi, Alban, Abubaker, Shadan, Kisi, Ozgur

“…Trend analysis of streamflow provides practical information for better management of water resources on the eve of climate change. Thus, the objective of this…”
Get full text

Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations by Shiri, Jalal, Kişi, Özgur

“…This paper investigates the ability of genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) techniques for groundwater depth forecasting…”
Get full text

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review by Nourani, Vahid, Hosseini Baghanam, Aida, Adamowski, Jan, Kisi, Ozgur

“…•The paper reviews applications of hybrid wavelet–AI models in hydro-climatology.•Efficiency of hybrid models regarding processes and model type were…”
Get full text

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration by Tikhamarine, Yazid, Malik, Anurag, Souag-Gamane, Doudja, Kisi, Ozgur

“…Accurate estimation of reference evapotranspiration (ET o ) is profoundly crucial in crop modeling, sustainable management, hydrological water simulation, and…”
Get full text

Daily streamflow prediction using optimally pruned extreme learning machine by Adnan, Rana Muhammad, Liang, Zhongmin, Trajkovic, Slavisa, Zounemat-Kermani, Mohammad, Li, Binquan, Kisi, Ozgur

“…•Accuracy of new heuristic methods are investigated in estimating daily streamflows.•OP-ELM and ANFIS-PSO perform the best in upstream and downstream.•The…”
Get full text

Precipitation forecasting by using wavelet-support vector machine conjunction model by Kisi, Ozgur, Cimen, Mesut

“…A new wavelet-support vector machine conjunction model for daily precipitation forecast is proposed in this study. The conjunction method combining two…”
Get full text

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine by Rezaie-Balf, Mohammad, Kisi, Ozgur

“…Abstract Streamflow forecasting is crucial in hydrology and hydraulic engineering since it is capable of optimizing water resource systems or planning future…”
Get full text

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John, El-Shafie, Ahmed

“…•Non-tuned data-driven approach is investigated for monthly stream-flow forecasting.•The model is examined for river flow located in semi-arid environment.•A…”
Get full text

Modeling rainfall-runoff process using soft computing techniques by Kisi, Ozgur, Shiri, Jalal, Tombul, Mustafa

“…Rainfall-runoff process was modeled for a small catchment in Turkey, using 4 years (1987–1991) of measurements of independent variables of rainfall and runoff…”
Get full text

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches by Tikhamarine, Yazid, Malik, Anurag, Kumar, Anil, Souag-Gamane, Doudja, Kisi, Ozgur

“…In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer…”
Get full text

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction by Malik, Anurag, Tikhamarine, Yazid, Souag-Gamane, Doudja, Kisi, Ozgur, Pham, Quoc Bao

“…Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and urban…”
Get full text

Trend analysis of precipitation records using an innovative trend methodology in a semi-arid Mediterranean environment: Cheliff Watershed Case (Northern Algeria) by Harkat, Samra, Kisi, Ozgur

“…The description and analysis of rainfall trends is necessary for effective planning, management, and exploitation of water resources. This study investigates…”
Get full text

Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models by Malik, Anurag, Kumar, Anil, Kisi, Ozgur

“…•MLPNN, CANFIS, RBNN and SOMNN are utilized to estimate pan-evaporation.•The combination of appropriate input variables was decided using Gamma test.•The…”
Get full text

Human–Environment Natural Disasters Interconnection in China: A Review by Rawshan Ali, Alban Kuriqi, Ozgur Kisi

“…This study aimed to assess the interrelationship among extreme natural events and their impacts on environments and humans through a systematic and…”
Get full text

Dissolved oxygen prediction using a new ensemble method by Kisi, Ozgur, Alizamir, Meysam, Docheshmeh Gorgij, AliReza

“…Prediction of dissolved oxygen which is an important water quality (WQ) parameter is crucial for aquatic managers who have responsibility for the ecosystem…”
Get full text

Fuzzy c-means and K-means clustering with genetic algorithm for identification of homogeneous regions of groundwater quality by Mohammadrezapour, Omolbani, Kisi, Ozgur, Pourahmad, Fariba

“…In this study, two different clustering algorithms, fuzzy c -means (FCM) and K -means with genetic algorithm, were used to identify the homogeneous regions in…”
Get full text

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration by Abdullah, Shafika Sultan, Malek, M.A., Abdullah, Namiq Sultan, Kisi, Ozgur, Yap, Keem Siah

“…•ELM model is proposed for prediction of ET0 in Iraq.•The ELM is more efficient than FFBP model.•The proposed ELM is efficient in predicting ET0 with complete…”
Get full text

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods by Seyedian, Seyed Morteza, Kisi, Ozgur

“…The present study used three machine learning models, including Least Square Support Vector Regression (LSSVR) and two non-parametric models, namely, Quantile…”
Get full text