. . . . . "This article compares two methods of identification of a real system. The first one is the classical Least squares method and the second one is a Neural network approach that uses the feedforward network with tree layers. The Levenberg-Marquardt was chosen as the learning algorithm. Laboratory equipment Amira DR300 was selected for the verification of both methods. It is a servo-mechanism which consists of a permanently excited DC-motor and a tacho-generator with the incremental encoder as a sensor of the output signal."@en . "DAAAM International Vienna" . "A comparative study of a real system identification" . . "Vienna" . "Vienna" . "RIV/70883521:28140/11:43866798" . "2"^^ . . . "Gazdo\u0161, Franti\u0161ek" . . "Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium %22Intelligent Manufacturing & Automation: Power of Knowledge and Creativity%22" . "2011-11-23+01:00"^^ . "Pi\u0161an, Radim" . . . "A comparative study of a real system identification" . . . "A comparative study of a real system identification"@en . . "RIV/70883521:28140/11:43866798!RIV13-MSM-28140___" . "A comparative study of a real system identification"@en . "2"^^ . "This article compares two methods of identification of a real system. The first one is the classical Least squares method and the second one is a Neural network approach that uses the feedforward network with tree layers. The Levenberg-Marquardt was chosen as the learning algorithm. Laboratory equipment Amira DR300 was selected for the verification of both methods. It is a servo-mechanism which consists of a permanently excited DC-motor and a tacho-generator with the incremental encoder as a sensor of the output signal." . "Identification, Neural network, Least squares method, Amira DR 300"@en . "2"^^ . . . "28140" . "183676" . "978-3-901509-83-4" . "1726-9679" . "S" . . . "[3DA190E41354]" .