Abstract
Due to the increasing demands on modern manufacturing processes, traditional process and optimization systems are reaching their limits and reveal serious shortcomings. Intelligent technologies like fuzzy logic and neural networks can help to increase the economical viability of manufacturing. This article therefore presents an application in the field of electro-discharge machining (EDM).
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References
Klocke, F., König, W., Raabe, R.: Adaptive Control of EDM Sinking Process Using Fuzzy Logic, Eufit '96, Proceedings Fourth European Congress on Intelligent Technics and Soft Computing Aachen, Vol. 2 (1996), S. 1085–1089.
Klocke, F., König, W., Raabe, R.: Steigerung der Wirtschaftlichkeit und Prozeßsicherheit von Funkenerosionsmaschinen mit Neuro-Fuzzy-Control, Tagungsband: Fachtagung “Leistungselektronische Aktoren und intelligente Bewegungssteuerungen”, Otto-von-Guericke-Universität Magdeburg, 1996.
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Klocke, F., Raabe, R., Wiesner, G. (1997). Neuro-fuzzy approach for electro-discharge sinking process control. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_174
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DOI: https://doi.org/10.1007/3-540-62868-1_174
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