Application of artificial neural network to an assessment of influence of residual microalloing elements on mechanical properties of steel products

Application of artificial neural network to an assessment of influence of residual microalloing elements on mechanical properties of steel products Roman Kuziak1, Władysław Zalecki1, Jan Kusiak2 1Instytut Metalurgii Żelaza, ul. K. Miarki I 2, 44-100 Gliwice. 2AGH University of Science and Technology, al. Adama Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2001.1.0004 Abstract: The work presents some … Read more

Identification of the experiment plan for neuron approximation

Identification of the experiment plan for neuron approximation Roma Górecka, Jacek Pietraszek, Zbigniew Polański AGH University of Science and Technology, al. Adama Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2001.1.0005 Abstract: The paper describes an application of the SDM method (sequence data modification) to searching for an optimum structure of training data set (experiment plan) in a … Read more

Problem of selection of proper architecture for neural network

Problem of selection of proper architecture for neural network Ryszard Tadeusiewicz AGH University of Science and Technology, al. Adama Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2001.1.0001 Abstract: Review of problems connected with applications of artificial neural networks in generally understood metallurgy is discussed in the paper. Conditions, which particular tasks impose on the selection of the … Read more