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Information × Registration Number 0225U000238, (0123U100900) , R & D reports Title Mathematical and computer modeling of data, processes and systems in the minds of importance, risk, non-significance and richness of criteria popup.stage_title Математичне та комп’ютерне моделювання даних, процесів і систем в умовах визначеності, ризику, невизначеності та багатокритеріальності Head Yakovenko Volodymyr , д.т.н. Registration Date 07-01-2025 Organization University of Customs and Finance popup.description1 Development of theoretical and practical ambush using mathematical methods and computer technologies and systems for data modeling and processes and development of recommendations for improving processes of modeling, forecasting in various fields, and selection of results for making management decisions popup.description2  The research conducted a domain analysis to identify key aspects and challenges in the application of neural models for data analysis. Machine learning methods for neural models in the context of data analysis were investigated. Various aspects were studied, such as data collection and preprocessing, the use of convolutional and recurrent neural networks, deep feedforward neural networks, and deep convolutional neural networks. The problem of overfitting and regularization methods were emphasized, as they are key in ensuring the robustness and accuracy of models. An important stage in machine learning was also studied - feature selection, which helps to identify the most influential aspects in the data. Product Description popup.authors BULHAKOVA Olha F. KOSTENKO Viktoriia V. Lebid Oksana Yu. MORMUL Mykola F. Rudianova Tetiana M. RIABOVOLENKO Vladyslav A. RIABOVOLENKO Eduard A. Ulianovska Yuliia V. Firsov Oleksandr D. CHUPILKO Oleksandr S. CHUPILKO Tetiana A. Shchytov Dmytro M. Shchytov Oleksandr M. YAKOVENKO Tetiana Yu. popup.nrat_date 2025-01-07 Close