Relative importance of input signals of neural network

Relative importance of input signals of neural network Marcin Perzyk, Andrzej Kochański, Jacek Kozłowski Instytut Technogii Materiałowych Politechniki Warszawskiej. DOI: https://doi.org/10.7494/cmms.2003.3.0045 Abstract: Several types of relative importance factors of input signals of neural network are analyzed and assessed using simulated training sets. Behavior of the factors for characteristic cases of synergetic influences of input signals … Read more

Filtering of the experimental data using the wavelet analysis and the artifacial neural networks

Filtering of the experimental data using the wavelet analysis and the artifacial neural networks Jolanta Talar, Łukasz Rauch, Jan Kusiak AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.3.0046 Abstract: The analysis of experimental measurements is sometimes difficult, if the registered data are superimposed be noisy signals. The source of such noise is often the improper … Read more

Modelling and control of steelmaking converter process

Modelling and control of steelmaking converter process Marek Długosz, Wojciech Mitkowski, Wojciech Pietrzyk AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.2.0036 Abstract: The static model of steelmaking oxygen converter process, based on the artificial neural network approach, is presented in the paper . Remarks about the dynamic models and control of the process are presented, … Read more

Algorithm of a knowledge extraction from neural network on the example of hot-dip zinc coating process

Algorithm of a knowledge extraction from neural network on the example of hot-dip zinc coating process Sławomir Golak, Franciszek Grosman, Tadeusz Wieczorek Politechnika Śląska. DOI: https://doi.org/10.7494/cmms.2003.2.0037 Abstract: One of the major disadvantages of neural networks is that they can be considered as black boxes, since no satisfactory explanation of their work. A method for the … Read more

Application of artificial neural networks to determination of bending parameters of construction profiles

Application of artificial neural networks to determination of bending parameters of construction profiles Paweł Litwin, Feliks Stachowicz Politechnika Rzeszowska, Wydział Budowy Maszyn i Lotnictwa. DOI: https://doi.org/10.7494/cmms.2003.2.0038 Abstract: Determination of the bending moment and springback coefficient of thin-walled steel and aluminium alloy profiles, as a function of the bending curvature, was the main objective of the … Read more

An analysis of sequences of nonuniform images

An analysis of sequences of nonuniform images Zbigniew Rudnicki AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.2.0039 Abstract: The images of sliding trace and transfer film on steel counter sample disk were recorded during sliding of the samples of the two PTFE composites in pin-on-disk tribotester. The paper describes some methods of analysis of these … Read more

Method of interpretation of results of plane strain compression tests for evaluation of rheological parameters of materials

Method of interpretation of results of plane strain compression tests for evaluation of rheological parameters of materials Bernard Kowalski AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.2.0040 Abstract: Plane strain compression tests to investigate effects of heterogeneity of deformation for various initial specimen geometries have been carried out. Equations for correction of nominal strain and strain … Read more

Computer image analysis in quantitative metallography

Computer image analysis in quantitative metallography Jan Szala Katedra Nauki o Materialach, Politechnika Śląska, Krasińskiego 8, 40-019 Katowice. DOI: https://doi.org/10.7494/cmms.2003.1.0035 Abstract: The computer image analysis is performed on digital images consisting from pixels, their values, in certain scale, correspond to a mean grey level or colour of metalographic microsection area represented by a given pixel. … Read more

Optimization of drawbead position in sheet metal forming

Optimization of drawbead position in sheet metal forming Artur Marczewski, Włodzimierz Sosnowski Instytut Podstawowych Problemów Techniki PAN, Świętokrzyska 21, 00-049 Warszawa. DOI: https://doi.org/10.7494/cmms.2003.1.0032 Abstract: In this paper the optimization of drawbead position based on sensitivity analysis is considered. The finite element simulation of sheet metal forming process and ?exact?, direct differentiation method (DDM) of sensitivity … Read more

Modelling of the influence of crystallographic texture evolution on the plastic anisotropy development and strain localization in metal sheets

Modelling of the influence of crystallographic texture evolution on the plastic anisotropy development and strain localization in metal sheets Katarzyna Kowalczyk1, Wiktor Gambin2 1Instytut Podstawowych Problemów Techniki PAN, Warszawa. 2Wydział Mechatroniki Politechniki Warszawskiej, Warszawa. DOI: https://doi.org/10.7494/cmms.2003.1.0031 Abstract: Model of evolution of plastic anisotropy due to crystallographic texture development in metals subjected to large deformation processes … Read more