Fuzzy Neural Network Technology Support Decision-Making / Nguyen Anh Tu, A. M. Korikov, Nguyen Anh Tuan
Уровень набора: (RuTPU)RU\TPU\network\18167, Advances in Computer Science ResearchЯзык: английский.Страна: France.Резюме или реферат: The application of fuzzy neural network models using fuzzy neuron activation functions to solve the problems of clustering the intensity of Markov chains, whose distribution belongs to the exponential family, has been investigated and discussed in this study. The research is carried out with the help of the computer simulation tools of MATLAB software. Markov chains are presented with a ten successive elementary data sets, each of which is characterized by the intensity of arrival of events. Using fuzzy neural networks, the dichotomy problem is solved: the clusterization of the intensity of ten Poisson streams. The simulation results have validated the applicability of fuzzy neural network clustering of Markov chain intensity..Примечания о наличии в документе библиографии/указателя: [References: p. 131 (11 tit.)].Тематика: электронный ресурс | труды учёных ТПУ | fuzzy activation functions | fuzzy neural networks | Markovian arrival processes | intensity clustering | нечеткие функции | нечеткие нейронные сети | марковские процессы | кластеризация | принятие решений Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: p. 131 (11 tit.)]
The application of fuzzy neural network models using fuzzy neuron activation functions to solve the problems of clustering the intensity of Markov chains, whose distribution belongs to the exponential family, has been investigated and discussed in this study. The research is carried out with the help of the computer simulation tools of MATLAB software. Markov chains are presented with a ten successive elementary data sets, each of which is characterized by the intensity of arrival of events. Using fuzzy neural networks, the dichotomy problem is solved: the clusterization of the intensity of ten Poisson streams. The simulation results have validated the applicability of fuzzy neural network clustering of Markov chain intensity.
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