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Information × Registration Number 0223U001916, 0122U001224 , R & D reports Title Technologies of neuro-fuzzy modeling and optimization in pattern recognition and artificial intelligence systems popup.stage_title Head Kiselova Olena М., Доктор фізико-математичних наук Registration Date 06-02-2023 Organization Oles Honchar Dnipro National University popup.description2  The object of the study is the process of modeling complex systems on the principles of fuzzy logic in artificial intelligence systems; effective methods, algorithms, means of implementing fuzzy computations for solving problems of artificial intelligence and pattern recognition. The purpose of the study is to obtain fundamental results in the direction of the modern theory of pattern recognition and artificial intelligence, namely: new neuro-fuzzy technologies for creating mathematical models based on the theory of optimal set partitioning; effective approximate methods, algorithms and related software for use in pattern recognition and artificial intelligence systems. As research methods in the performance of scientific work, methods of the theory of continuous problems of optimal set partitioning under certainty conditions, methods of computational intelligence (the theory of fuzzy sets and fuzzy neural networks), the theory of non-classical optimization problems, the theory of duality, methods of non-differential optimization were used. The theoretical results of the study are: an analytical review on research topics; new mathematical models of fuzzy continuous OSP problems in complicated formulations based on the synthesis of methods of the theory of optimal set partitioning and neuro-fuzzy technologies; properties of the constructed mathematical models. The obtained scientific results are new, satisfy the requirements for the development of such a type in world science, and are accompanied by detailed descriptions of neuro-fuzzy technologies and methods. The effectiveness of the implementation of the results is associated with obtaining new competitive methods for obtaining and practical use of fuzzy mathematical models, reasonable methods and algorithms for solving these models for use in artificial intelligence and pattern recognition systems. Scope: research and experimental development in the field of other natural and technical sciences. Product Description popup.authors Baleyko Natalia V. Нart Liudmyla L Zhuravel Serhiy V. Kiseleva Olena M. Kuzenkov Olexandr O Padalko Vadim H. Prytomanova Olga M Yakovlev Sergiy V. Yatsechko Natalia Ye popup.nrat_date 2023-02-06 Close