Algorithms For The Reliability Of Information Of Non-Stationary Objects Based On Neural Networks

Djumanov Olimjon Israilovich, Nazarov Bahrom Mustafaevich

Abstract


A method and algorithms for stochastic learning of a neural network based on splitting the feature space into clusters have been developed. Methods for determining whether features belong to clusters based on fuzzy terms are proposed, as well as an algorithm for synthesizing mechanisms for identifying, filtering and processing images into the structure of a neuro-fuzzy data processing network.


Keywords


Non-Stationary Object, Identification, Information Processing, Reliability, Neural Network, Neuro-Fuzzy Network.

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v31.1.4155

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