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Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models.

, , , , , , and . Neural Comput. Appl., 28 (4): 635-649 (2017)

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Data-driven multi-stage multi-objective motion planning of mobile robots, application to near minimum power fuzzy parking.. Comput. Electr. Eng., (2015)Stochastic parameters identification and localization of mobile robots.. ROSE, page 24-29. IEEE, (2010)Rate of Penetration Prediction and Optimization using Advances in Artificial Neural Networks, a Comparative Study., and . IJCCI, page 647-652. SciTePress, (2012)A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redundant manipulators., , , and . Eng. Appl. Artif. Intell., 21 (7): 974-984 (2008)Neural based RSPN multi-agent strategy for biped motion control.. Robotica, 19 (6): 611-617 (2001)Rate of Penetration Prediction and Optimization using Advances in Artificial Neural Networks, a Comparative Study., and . IJCCI, page 647-652. SciTePress, (2012)Collaborative Project-Based Training and Learning Through Multidisciplinary Undergraduate Research.. FIE, page 1-5. IEEE, (2022)Support Vector Regression and Functional Networks for viscosity and Gas/Oil Ratio Curves Estimation., , , , and . International Journal of Computational Intelligence and Applications, 10 (3): 269-293 (2011)Hybrid Neuro-Fuzzy Multi-objective trajectory Planning of Redundant manipulators., , , and . Control. Intell. Syst., (2009)Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models., , , , , , and . Neural Comput. Appl., 28 (4): 635-649 (2017)