"[D60C740E37A7]" . . . . "The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology."@en . "325-330" . . . . "Neural Networks Learning Methods Comparison" . "Porovn\u00E1n\u00ED u\u010D\u00EDc\u00EDch metod neuronov\u00FDch s\u00EDt\u00ED"@cs . . "P(GA102/03/0560), Z(MSM0021630513)" . . . "Image Processing, Genetic Algorithm, Back-Propagation Algorithm"@en . "4" . . "2"^^ . "Neural Networks Learning Methods Comparison"@en . "4" . . . . "26220" . "2"^^ . "RIV/00216305:26220/05:PU52070!RIV06-GA0-26220___" . "532555" . "WSEAS Transactions on Circuits" . . "RIV/00216305:26220/05:PU52070" . "The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology." . "\u0160korpil, Vladislav" . . "6"^^ . "1109-2734" . "\u0160\u0165astn\u00FD, Ji\u0159\u00ED" . "GR - \u0158eck\u00E1 republika" . "Porovn\u00E1n\u00ED u\u010D\u00EDc\u00EDch metod neuronov\u00FDch s\u00EDt\u00ED"@cs . . . "Neural Networks Learning Methods Comparison"@en . . "The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology."@cs . "Neural Networks Learning Methods Comparison" .