Application of two non-linear prediction tools to the estimation of tunnel boring machine performance. - Saffet Yagiz; Candan Gokceoglu; Ebru Akcapinar Sezer; Serdar Iplikci (Eng. Appl. Artif. Intell., 2009)

Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness. - Saffet Yagiz; Candan Gokceoglu (Expert Syst. Appl., 2010)

On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system. - Sevil Sen; Ebru Akcapinar Sezer; Candan Gokceoglu; Saffet Yagiz (J. Intell. Fuzzy Syst., 2012)

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances. - Danial Jahed Armaghani; Edy Tonnizam Mohamad; Mohsen Hajihassani; Saffet Yagiz; Hossein Motaghedi (Eng. Comput., 2016)

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models. - Manoj Khandelwal; Roohollah Shirani Faradonbeh; Masoud Monjezi; Danial Jahed Armaghani; Muhd Zaimi Bin Abd. Majid; Saffet Yagiz (Eng. Comput., 2017)

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. - Jian Zhou 007; Yingui Qiu; Shuangli Zhu; Danial Jahed Armaghani; Chuanqi Li; Hoang Nguyen 001; Saffet Yagiz (Eng. Appl. Artif. Intell., 2021)

Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms. - Ebrahim Ghorbani; Saffet Yagiz (Eng. Appl. Artif. Intell., 2024)