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IEEE Sensors Journal
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1 Department of Mechatronics, Kazimierz Wielki University, ul. Kopernika 1, 85-074 Bydgoszcz, Poland 2 Institute of Computer Science, Kazimierz Wielki University, ul. Chodkiewicza 30, 85-064 Bydgoszcz, Poland 3 Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Žilina, 010 26 Žilina, Slovakia 4 Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland
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MANUAL FOR ELECTRICAL MACHINE
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Few major references are included here. Other references may be found in individual chapters.
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Self-excited vibrations in turning: Forces torsor analysis
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Complexity of graphics reproductions processes and their numerous parameters demands sophisticated approach. We present brief look of possibilities of neural network as a generation tool for solutions in wide aspect of complex problems which emerge in processes of graphics reproduction. Optimization of certain processes such as paper production, recycling or printing due to their complexness and mutual dependence of numerous parameters and fine interaction effects is ideal field for neural network application. This method can be powerful tool for mathematical solution demands on problem concerning quality monitoring and validation in graphical reproduction processes. 1. INTRODACTION In electronic and printing manufacturing, it is common to assure the quality of the final product by implementing time-consuming and expensive tests of final product. Integrated quality test strategies are becoming more important due to the multiple complex production steps and interactions in printing p.
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