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- W2004805964 abstract "In the paper different approaches are described for applying artificial neural network techniques for modelling and monitoring of machining processes (turning, milling) by sensor integration. Back propagation networks are used for state classification of tools, estimation of the tool wear and inverse modelling of the cutting process. Special emphasis is placed on the incorporation of the varying cutting conditions into the learning phase and solutions, which are based upon normal operation, i.e. cutting with sharp tools. Performances of the developed strategies are demonstrated and compared. At the end of the paper the role and perspectives of artifical neural networks in intelligent manufacturing are highlighted." @default.
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- W2004805964 title "A Step towards Intelligent Manufacturing: Modelling and Monitoring of Manufacturing Processes through Artificial Neural Networks" @default.
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- W2004805964 doi "https://doi.org/10.1016/s0007-8506(07)62491-3" @default.
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