Kurzfassung
In dieser Arbeit werden zwei Methoden dargestellt, die der intelligenten Identifikation von nicht-linearen Systemen dienen. Beide Methoden, basieren auf neuronalen Netzen (scharfe und unscharfe), die mit genetischen Algorithmen optimiert worden sind. Sie sind eine Verbesserung des schon von Narendra dargestellten Modells für dynamische Systeme.
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© 1994 Springer-Verlag Berlin Heidelberg
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Vergara, V., Moraga, C. (1994). Optimierung der Identifikation nicht-linearer Systeme durch Soft-Computing. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_9
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DOI: https://doi.org/10.1007/978-3-642-79386-8_9
Publisher Name: Springer, Berlin, Heidelberg
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