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Neuro-Fuzzy Modelling Based on Kolmogorov's Superposition: a New Tool for Prediction and Classification
Marktplatz Internet: Von e-Learning bis e-Payment, 13. Leipziger Informatik-Tage (LIT 2005)
In the paper, a novel Neuro-Fuzzy Kolmogorov's Network (NFKN) is considered. The NFKN is based on the famous Kolmogorov’s superposition theorem (KST). The network consists of two layers of neo-fuzzy neurons (NFNs) and is linear in both the hidden and output layer parameters, so it can be trained with very fast and simple ...