Toplam kayıt 4, listelenen: 1-4

    • A genetic programming approach to forecast daily electricity demand 

      Danandeh Mehr, Ali; Bagheri, Farzaneh; Reşatoğlu, Rifat (Springer Nature Switzerland AG, 2019)
      A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...
    • Genetic programming in water resources engineering: a state-of-the-art review 

      Danandeh Mehr, Ali; Nourani, Vahid; Kahya, Ercan; Hrnjica, Bahrudin; Sattar, Ahmed M. A. (Elsevier, 2018)
      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 ...
    • Modern soft computing techniques and their applications in civil engineering 

      Danandeh Mehr, Ali (12th International Scientific Conference, 2019)
      Soft computing (SC) is a group of technigues and methodologies applied to solve a wide range of problems spread in several areas of science. The aim is to exploit tolerance for imprecision, uncertainiy and partial truth ...
    • Month ahead rainfall forecasting using gene expression programming 

      Danandeh Mehr, Ali (American Journal of Earth and Environmental Sciences, 2018)
      In the present study, gene expression programming (GEP) technique was used to develop one-month ahead monthly rainfall forecasting models in two meteorological stations located at a semi-arid region, Iran. GEP was trained ...