Abstract
The neuro-fuzzy system presented in the paper is a system with parameterized consequences implementing hierarchical partition of the input domain. The regions are described with attributes values. In this system not all attribute values must be used to constitute the region. The attributes of minor importance may be ignored. The results of experiments show that the simplified model have less parameters and can achieve better generalisation ability.
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Simiński, K. (2009). Simplification of Neuro-Fuzzy Models. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_27
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DOI: https://doi.org/10.1007/978-3-642-00563-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00562-6
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