FRBF: A fuzzy radial basis function network
The FRBF network is designed by, integrating the principles of a radial basis function network and the fuzzy c-means algorithm. The architecture of the network is suitably modified at the hidden layer to realise a novel neural implementation of the fuzzy clustering algorithm. Fuzzy set-theoretic concepts are incorporated at the input, output and hidden layers, enabling the model to handle both linguistic and numeric inputs, and providing a soft output decision. The effectiveness of the model is demonstrated on a speech recognition problem.
radial basis function network fuzzy clustering neuro-fuzzy computing pattern classification