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METHODS AND ALGORITHMS OF HYBRID IDENTIFICATION OF NON-STATIONARY OBJECTS BASED ON EXTENSION AND USE OF PROPERTIES OF FUZZY SETS AND INFERENCES
Journal: Science and world (Vol.1, No. 33)Publication Date: 2016-05-23
Authors : Bekmurodov Z.T.; Avazova D.A.;
Page : 64-66
Keywords : non-stationary object; hybrid model; identification; distinction; classification; forecasting; fuzzy set; fuzzy logic; optimization; adjustment and setting mechanism;
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Abstract
The approach to hybrid identification and designing of applications for identification, classification, analysis and forecasting for non-stationary objects is developed. The algorithms basing on extension and use of properties of fuzzy sets and logic, synthesizing mechanisms for parameter setting for models are suggested. The efficiency of identification algorithms with parameter setting, without adjustment mechanism is analysed.
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Last modified: 2016-08-17 19:41:50