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The Effect of Interference Parameters on the Exploitation Capabilities of an Underwater Vehicle

References [1] Dulęba I., Metody i algorytmy planowania ruchu robotów mobilnych i manipulacyjnych, EXIT, Warszawa 2001 [Methods an algorithms used for planning movement of mobile and manipulation robots - available in Polish]. [2] Fossen T. I., Fjellstad O. E., Nonlinear modelling of marine vehicle in 6 degrees of freedom, ‘Journal of Mathematical Modelling of Systems’, 1995, No. 1. [3] Fossen T. I., Guidance and Control of Ocean Vehicles, John Wiley & Sons Ltd., 1994. [4] Garus J., Dynamika i

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Embedded Adaptive Neuro Fuzzy Inference System with Hardware Implemented Real Time Parameter Update

-23, 2010 [6] Zangeneh, A.Z., Mansouri, M., Teshnehlab, M., Sedigh, A.K., "Training ANFIS system with DE algorithm," Advanced Computational Intelligence (IWACI), pp. 308-314, 2011. [7] Carrano, E.G., Takahashi, R.H.C., Caminhas, W.M., Neto O.M., "A genetic algorithm for multiobjective training of ANFIS fuzzy networks," Evolutionary Computation CEC . IEEE Congress, Vols. 3259-3265, 2008. [8] Banu, U.S., Uma, G., "ANFIS gain scheduled CSTR with genetic algorithm based PID minimizing integral square error," Information and

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Automated evaluation of agricultural damage using UAV survey

., “Evolutionary algorithm for optimizing parameters of GPGPU-based image segmentation”, (2013) Acta Polytechnica Hungarica , 10 (5), pp. 7-28. [14] Kertész, G., Szénási, S., Vámossy, Z., “Parallelization Methods of the Template Matching Method on Graphics Accelerators”, (2015) 16th IEEE International Symposium on Computational Intelligence and Informatics – CINTI , pp. 161-164. ISBN:978-1-4673-8520-6

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