Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Conditional fuzzy clustering in the design of radial basis function neural networks
IEEE Transactions on Neural Networks
A new clustering technique for function approximation
IEEE Transactions on Neural Networks
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In this paper, we describe a novel approach to fuzzy clustering which organizes the data in clusters on the basis of the input data and builds a 'prototype' regression function as a summation of linear local regression models to guide the clustering process. This methodology is shown to be effective in the training of RBFNN's. It is shown that the performance of such networks is better than other types of networks.