Neuro-Fuzzy Clustering of Distorted Data Using Cat Swarm Optimization

Neuro-Fuzzy Clustering of Distorted Data Using Cat Swarm Optimization

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Nowadays, computational intelligence technologies often and quite successfully are used in solving complex problems that, as a rule, do not have an analytical solution. Today, these technologies and especially artificial neural networks (ANN) are widely used to solve various problems of signal processing, optimization, optimal and adaptive control, pattern recognition, identification, time- series prediction, etc. At the same time, the described approaches to data recovery are workable only in cases when the initial data are set a priori, and the "object-property" table or time series has a fi...