Design and implementation of speed and torque controller for DC motor

dc.contributor.authorRabiai, Zakaria
dc.contributor.authorDahimene, A. (Supervisor)
dc.date.accessioned2022-02-08T11:47:38Z
dc.date.available2022-02-08T11:47:38Z
dc.date.issued2018
dc.description35 p.en_US
dc.description.abstractThe purpose of this project is to implement an end-to-end automatic speech recognition system using recurrent neural networks, the Arabic language which ranks as the fifth most spoken language in the world has been chosen as the main language of the system. The Arabic language has been alienated from such type of projects due to its complexity, uniqueness and lack of free appropriate corpuses, but with new emerging algorithms in the domain of speech recognition such as the connectionist temporal classification, it is becoming more accessible to use unsegmented corpuses in the aim of building performant automatic speech recognition systems. The development of the projecten_US
dc.description.sponsorshipUniversité M'Hamed Bougara Boummerdes : Institut genie électrique et électroniqueen_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/7592
dc.language.isoenen_US
dc.subjectNeural networks (Computer scienceen_US
dc.subjectNeural networken_US
dc.titleDesign and implementation of speed and torque controller for DC motoren_US
dc.typeThesisen_US

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