Abstract
AbstractIn work for intellectual diagnostics of egg development state is offered a neuro-fuzzy expert system. The research novelty is that for state diagnostics of egg development was the fuzzy expert system, two models of a neuro-fuzzy expert system state diagnostics of egg development are created, three criteria for efficiency evaluation of the created models are chosen, and parameters of the offered models based on an algorithm of the return distribution in batch mode and the optimizer of a grey wolf which are focussed on technology of parallel information processing are determined. The offered models and parameters determination procedures allow to increase the accuracy, speed, and decision-making reliability. As a result of a numerical research, it was established that the offered neuro-fuzzy expert system provides probability wrong the made decisions on states of development of egg 0.02 and mean square error 0.05. The offered neuro-fuzzy expert system can be used in various intellectual’s decision support systems.KeywordsIntellectual state diagnostics of egg developmentFuzzy logicArtificial neural networkExpert systemOptimizer of a grey wolfMetaheuristics
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