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Статті в журналах з теми "Штучні нейроні мережі"
Бажинов, О., Р. Заверуха та Т. Бажинов. "Інформаційна комплексна система діагностики гібридних і електромобілів". Науковий журнал «Інженерія природокористування», № 2(16) (1 грудня 2020): 12–18. http://dx.doi.org/10.37700/enm.2020.2(16).12-18.
Повний текст джерелаPogrebnyak, S. V., та O. O. Vodka. "Моделювання механічної поведінки еластомірних матеріалів за допомогою штучної нейронної мережі". Scientific Bulletin of UNFU 28, № 11 (27 грудня 2018): 130–34. http://dx.doi.org/10.15421/40281123.
Повний текст джерелаZhuk, М. М., H. V. Pivtorak та І. І. Hits. "ЗАСТОСУВАННЯ НЕЙРОМЕРЕЖЕВОГО МОДЕЛЮВАННЯ ДЛЯ ПРОГНОЗУВАННЯ ТРИВАЛОСТІ ПЕРЕБУВАННЯ ТРАНСПОРТНОГО ЗАСОБУ НА ЗУПИНЦІ ГРОМАДСЬКОГО ТРАНСПОРТУ". Transport development, № 1(12) (3 травня 2022): 156–67. http://dx.doi.org/10.33082/td.2022.1-12.13.
Повний текст джерелаNazirova, T. O., та O. B. Kostenko. "Нейрономережева інформаційна технологія опрацювання медичних даних". Scientific Bulletin of UNFU 28, № 8 (25 жовтня 2018): 141–45. http://dx.doi.org/10.15421/40280828.
Повний текст джерелаПчелянський, Д. П., та С. А. Воінова. "ШТУЧНИЙ ІНТЕЛЕКТ: ПЕРСПЕКТИВИ ТА ТЕНДЕНЦІЇ РОЗВИТКУ". Automation of technological and business processes 11, № 3 (11 листопада 2019): 59–64. http://dx.doi.org/10.15673/atbp.v11i3.1500.
Повний текст джерелаNazirova, T. A., та A. B. Kostenko. "Застосування технології Neural Network для управління пацієнтопотоком у медичній установі". Scientific Bulletin of UNFU 28, № 6 (27 червня 2018): 136–39. http://dx.doi.org/10.15421/40280627.
Повний текст джерелаTeslyuk, V. M., та A. G. Kazarian. "Вибір оптимального типу штучної нейронної мережі для автоматизованих систем "розумного" будинку". Scientific Bulletin of UNFU 30, № 5 (3 листопада 2020): 90–93. http://dx.doi.org/10.36930/40300515.
Повний текст джерелаSavka, N. Ya. "Artificial Neural Networks for Modeling of Crisis Management of National Economy." Èlektronnoe modelirovanie 42, no. 2 (April 9, 2020): 109–20. http://dx.doi.org/10.15407/emodel.42.02.109.
Повний текст джерелаTomashevskyi, Yurii, Oleksander Burykin, Volodymyr Kulyk, Juliya Malogulko та Vladyslav Hrynyk. "ІНФОРМАЦІЙНА СИСТЕМА РОЗПОДІЛЬНОЇ ЕЛЕКТРИЧНОЇ МЕРЕЖІ НА БАЗІ КОНЦЕПЦІЇ SMART METERING ІЗ ЗАСТОСУВАННЯМ ТИПОВИХ ГРАФІКІВ НАВАНТАЖЕННЯ". TECHNICAL SCIENCES AND TECHNOLOGIES, № 3(21) (2020): 229–41. http://dx.doi.org/10.25140/2411-5363-2020-3(21)-229-241.
Повний текст джерелаАртеменко, С. В., та В. О. Мазур. "EN Машинне навчання для властивостей холодоагентів". Refrigeration Engineering and Technology 57, № 3 (15 жовтня 2021): 138–46. http://dx.doi.org/10.15673/ret.v57i3.2164.
Повний текст джерелаДисертації з теми "Штучні нейроні мережі"
Гутман, А. І. "Застосування нейронних мереж для задач класифікації". Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/11830.
Повний текст джерелаЧернецький, Ігор Володимирович, Игорь Владимирович Чернецкий та Ihor Volodymyrovych Chernetskyi. "Штучні нейронні мережі в практичній мікробіології". Thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/66952.
Повний текст джерелаГреков, І. С., та М. Г. Заворотна. "Классификация нейронных сетей". Thesis, Кременчуцький льотний коледж, 2019. http://openarchive.nure.ua/handle/document/9373.
Повний текст джерелаКовнер, А. А. "Нейронні мережі в робототехніці". Thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/67036.
Повний текст джерелаКлепікова, Світлана Володимирівна. "Управління енергоефективністю промислового підприємства". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/42910.
Повний текст джерелаThesis for granting the Degree of Candidate of Economic Sciences in specialty 08.00.04 - economy and management of the enterprises (by types of economic activity). - National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis is devoted to actual problems of theoretical, methodical and practical aspects of management of energy efficiency of an industrial enterprise. In the dissertation the theoretical basis is investigated, a variety of formulations of concepts "energy efficiency", "energy saving", "energy management", "energy efficiency management" are considered and their use in work is determined. It is proposed to evaluate the energy efficiency of the enterprise by the indicator of energy intensity, which is the ratio of two economic values: the annual cost of energy resources to the cost of production. It is taken into account that the management of energy efficiency of an industrial enterprise is based on the general principles of the theory of control, according to which the control system consists of two subsystems - the managing one, and the controlled one, which is exposed to the control and has the effect (influence) of the control subsystem. Emphasis is placed on the fact that tasks and conditions formulated by higher hierarchical levels of energy efficiency management are a particularly important factor of influence. It is established that the task of improving the energy efficiency of industrial enterprises of the Ukrainian economy requires the creation of appropriate conditions at all levels of government. Such levels are: state, sectoral, regional and enterprise level. It has been established that conceptually levels of energy efficiency management systems can be represented as a hierarchical feedback loop. The conducted analysis of the regulatory framework in the field of energy efficiency and energy saving showed that at each stage of energy efficiency management specific tasks were defined for ensuring the process of implementation of state policy, with the nature of tasks for each of the levels having its own specificity. It was found that after the first world energy crisis, industrialized countries paid much attention to solving the problem of improving the energy efficiency of their economies and gained considerable experience in this direction, which was reflected in the international standard ISO 50001: 2011 "Energy Management Systems", which was further supplemented by a number of improving of the provisions in ISO 50001: 2018 "Energy management systems. Requirements and Guidelines for Implementation, "which implements PDCA Continuous Improvement Management. This standard should be implemented in the regulatory acts when implementing the "Energy Strategy of Ukraine to 2035". On the basis of the conducted analysis of the Laws of Ukraine on energy saving, international and national standards, the methodology of energy audit, it is established the expediency of introducing amendments to take into account the multiplicative and synergistic effects of saving energy resources in the modernization of energy equipment. The results of the analysis made it possible to correlate the level of ISO 50001 implementation by countries with the indicator of energy intensity, namely reducing it with the widespread introduction of energy management systems in industry, which allowed to reduce energy consumption per unit of production for the period 2000 - 2017 by almost 20%. Increasing GDP energy efficiency for Ukraine is a particularly important area of economic development. Significant investments are needed to improve energy efficiency, and the search for domestic investment sources is of particular importance for the country, for which it is desirable to have a toolkit for calculating the projected value of energy savings for the enterprise. It was found that the main levers for improving the energy efficiency of the leading countries were investment and improved governance. A significant increase in energy efficiency can be achieved by improving the management of energy efficiency of industrial enterprises; improving the energy efficiency of industrial enterprises, improving management and implementing the ISO 50001 standard. It is proposed and substantiated the feasibility of using the neural network method in the energy efficiency management of an industrial enterprise to determine the energy intensity index, which can be used for prompt provision of information on forecasted cost savings due to energy savings with multiple refinements in the process of determining the final values of the production form for the next year policies, setting up annual energy efficiency plans, planning other indicators production, on which the energy efficiency of an industrial enterprise depends. The methodical approach of determination of the index of energy intensity of the enterprise with the help of artificial neural networks (ANN), with the use of methods of expert estimations, a priori ranking and correlation-regression analysis is developed. An economic and mathematical model was created bas ed on a multilayer directional perceptron synthesized by the genetic algorithm method. The efficiency of the methodological approach was checked, as well as its testing according to the statistics of the leading Kharkiv enterprises. In the process of testing and analyzing its results, the conclusions were drawn about the need for: systematic accumulation of annual statistics, both the indicator itself and the factors that influence it; analysis of calculations and establishment of correctness of data accounting; identifying typical differences in the interpretation of a factor and making appropriate adjustments; taking into account the features of the enterprise; carrying out with the help of ANN research on the choice of rational values of production indicators - input values of the neural network that affect the indicator of energy intensity; studies on improving accuracy and forecasting due to changes in the structure and type of neural network, etc. Such a wide range of functions and the need for their systematic implementation led to the conclusion that it is advisable to create in the management structure of an industrial enterprise a structure that would include specialists capable of performing these functions - the Intelligent Energy Management Group (IEM). The practical result of the dissertation work on taking into account the multiplicative and synergistic effects is: first, the conclusion about the expediency of taking into account these effects when conducting an internal energy audit, for which it is necessary to make appropriate additions to its methodology of its conduct; secondly, the conclusion about the expediency of introducing into the legislative and regulatory acts the amendments that stimulate the enterprises to prioritize the modernization of power equipment with multiplicative and synergistic effect (as such, which provides significant savings of fuel and energy resources at the state level). Recommendations are given on the use of the results of work at different hierarchical levels of energy efficiency management and in other types of industrial enterprise management.
Клепікова, Світлана Володимирівна. "Управління енергоефективністю промислового підприємства". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/42909.
Повний текст джерелаThesis for granting the Degree of Candidate of Economic Sciences in specialty 08.00.04 – economy and management of the enterprises (by types of economic activity). – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis is devoted to actual problems of theoretical, methodical and practical aspects of management of energy efficiency of an industrial enterprise. In the dissertation the theoretical basis is investigated, the variety of formulations of the concepts of "energy efficiency", "energy saving", "energy efficiency management" and the use of them in work are considered. The Laws of Ukraine on energy conservation, the international and national standards, the methodology of energy audit are analyzed, and the expediency of introducing the corresponding additions to take into account the multiplicative and synergetic effects of energy resources saving during the modernization of the power equipment is established. It is suggested and justified the feasibility of using artificial neural networks (ANN) in the management of energy efficiency of an industrial enterprise. The method of determination of the energy intensity of an enterprise with the help of ANN is developed, with the involvement of expert estimation methods, a priori ranking and correlation-regression analysis. A mathematical model based on a multilayered straightforward perceptron synthesized by the genetic algorithm method was created. The efficiency of the methodological approach was checked, as well as its testing according to the statistics of the leading Kharkiv enterprises. In the process of testing and analyzing its results, the conclusions were drawn about the need for: systematic accumulation of annual statistics, both the indicator itself and the factors that influence it; analysis of calculations and establishment of correctness of data accounting; identifying typical differences in the interpretation of a factor and making appropriate adjustments; taking into account the features of the enterprise; carrying out with the help of ANN research on the choice of rational values of production indicators - input values of the neural network that aff ect the indicator of energy intensity; studies on improving accuracy and forecasting due to changes in the structure and type of neural network, etc. Such a wide range of functions and the need for their systematic implementation led to the conclusion that it is advisable to create in the management structure of an industrial enterprise a structure that would include specialists capable of performing these functions - the Intelligent Energy Management Group (IEM). The practical result of the dissertation work on taking into account the multiplicative and synergistic effects is: first, the conclusion about the expediency of taking into account these effects when conducting an internal energy audit, for which it is necessary to make appropriate additions to its methodology of its conduct; secondly, the conclusion about the expediency of introducing into the legislative and regulatory acts the amendments that stimulate the enterprises to prioritize the modernization of power equipment with multiplicative and synergistic effect (as such, which provides significant savings of fuel and energy resources at the state level). Recommendations are given on the use of the results of work at different hierarchical levels of energy efficiency management and in other types of industrial enterprise management.
Strukov, D. D., and O. Y. Myronchuk. "Application of neural networks for solving interpolation tasks." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50536.
Повний текст джерелаArtificial neural networks (ANN) are fundamental solution for most of nowadays algorithmic and optimization problems. The most frequently encountered artificial neuron models are neurons with multiple inputs and single output, named feedforward neural network (FNN).
Штучні нейронні мережі (ANN) є фундаментальним рішенням для більшості сучасних задач алгоритмізації та оптимізації. Найбільш часто зустрічаються моделі штучних нейронів - це нейрони з кількома входами та єдиним виходом, названі нейронною мережею прямого пересилання (FNN).
Коваленко, Володимир Володимирович. "Кіберфізична система розумної парковки на основі технології комп’ютерного зору". Магістерська робота, Хмельницький національний університет, 2022. http://elar.khnu.km.ua/jspui/handle/123456789/11951.
Повний текст джерелаАзарова, А. О., та О. В. Антонюк. "Математичне моделювання конкурентної сили підприємства з використанням нечітко-нейронних технологій". Thesis, ВНТУ, 2009. http://ir.lib.vntu.edu.ua//handle/123456789/23614.
Повний текст джерелаАвдєйонок, Ірина Ігорівна. "Фотонна інтегральна схема для систем з штучним інтелектом". Master's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/41180.
Повний текст джерелаThe dissertation is devoted to the development of a photonic integrated circuit for a neural network. Integrated circuits are an integral part of modern technology. Most of the functional units can be replaced by a photonic component (diodes, waveguides, filters and amplifier) to create a photonic integrated circuit. Photonic integrated circuits have several advantages: they have a higher speed of processing and transmission of information, a larger bandwidth and less energy loss. The most common is the use of hybrid circuits, namely part of the elements of the integrated system is integrated by photonic elements. The first section is devoted to the study of modern development of neural networks. Hardware implementations of neurons and neural networks are considered. A patent search for neuronal modeling was also performed. The second section considers modern architectures of the photon integrated circuit. A new structure of the integrated circuit and its manufacturing technology were proposed. For this purpose, the structure of the lithographic installation was proposed and the technical task was formulated. The third section is devoted to the design of the lithographic system. Dimensional calculations, calculation of structure of optical system were carried out. After the design, the system was analyzed, namely the optimization of the calculated system, energy calculation, and aberration analysis. The fourth section examines the Hopfield neural network, its mathematical model. Based on which a program was developed to model the Hopfield network and calculate weights. The fifth section is devoted to experimental research. A prototype of a photonic integrated system was developed. Experiments were performed: the study of the waveguides of the system for their further implementation and the study of the current prototype. The sixth section is devoted to the development of a startup project.
Частини книг з теми "Штучні нейроні мережі"
Приймак, В. І., С. М. Вишневська, and А. І. Трач. "ІНТЕЛЕКТУАЛЬНИЙ КАПІТАЛ І ЦИФРОВА ЕКОНОМІКА В СИСТЕМІ СТАЛОГО РОЗВИТКУ." In Economics, management and administration in the coordinates of sustainable development. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-157-2-23.
Повний текст джерелаЗвіти організацій з теми "Штучні нейроні мережі"
Семеріков, С. О. Застосування методів машинного навчання у навчанні моделювання майбутніх учителів хімії. КДПУ, листопад 2018. http://dx.doi.org/10.31812/123456789/2647.
Повний текст джерела