Abstract
Clustering can be part of training strategy for such neural networks as RBF and logical and ordinary fuzzy neural networks in case of presence of large sets of crisp and noisy training data. This chapter contains elements of general and interval type-2 FCM clustering methods, interval type-2 fuzzy clustering using DE, and design of type-2 neural networks with clustering.
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Aliev, R.A., Guirimov, B.G. (2014). Type-2 Fuzzy Clustering. In: Type-2 Fuzzy Neural Networks and Their Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-09072-6_4
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DOI: https://doi.org/10.1007/978-3-319-09072-6_4
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