Fuzzy Kolmogorov's Network

A novel fuzzy neural network, called Fuzzy Kolmogorov’s Network (FKN), is proposed. 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 computationally efficient procedures. The validity of theoretical results and the advantages of the FKN in comparison with other techniques are confirmed by experiments.