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The use of new intelligent techniques in designing retaining walls., , , , , and . Eng. Comput., 36 (1): 283-294 (2020)An optimized ANN model based on genetic algorithm for predicting ripping production., , , , and . Neural Comput. Appl., 28 (S-1): 393-406 (2017)Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm., , , and . Neural Comput. Appl., 29 (6): 269-281 (2018)A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength., and . Neural Comput. Appl., 33 (9): 4501-4532 (2021)A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material., , , and . Neural Comput. Appl., 34 (18): 15755-15779 (2022)Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples., , , , , , and . Eng. Comput., 34 (2): 307-317 (2018)Load carrying capacity assessment of thin-walled foundations: an ANFIS-PNN model optimized by genetic algorithm., , and . Eng. Comput., 38 (5): 4073-4095 (2022)Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS., , , , and . Eng. Comput., 37 (4): 2717-2734 (2021)Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns., , , , and . Eng. Comput., 37 (1): 1-19 (2021)Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models., , , , , and . Eng. Comput., 33 (1): 13-21 (2017)