Abstract
When the popularity of fuzzy systems in the guise of fuzzy controllers began to rise in the beginning of the 1990s researchers became interested in supporting the development process by an automatic learning process. Just a few years earlier the backpropagation learning rule for multi-layer neural networks had been rediscovered and triggered a massive new interest in neural networks. The approach of combining fuzzy systems with neural networks into neuro-fuzzy systems therefore was an obvious choice for making fuzzy systems learn. In this chapter we briefly recall some milestones on the evolution of neuro-fuzzy systems.
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Nauck, D.D., Nürnberger, A. (2013). Neuro-fuzzy Systems: A Short Historical Review. In: Moewes, C., Nürnberger, A. (eds) Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence, vol 445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32378-2_7
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DOI: https://doi.org/10.1007/978-3-642-32378-2_7
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