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Нейросетевые и нечеткие модели бюджетирования промышленных предприятий
Хмелева, А. В., Хмелев, А. Г., Бизянов, Е. Е.
to the design of budgets for the modernindustrial plant using artificial neural networks and fuzzy models
Development of Forecasting Models to Manage the Power Consumption Modes of the Gas Industry Facilities
Abramovich B.N., Babanova I.S., Tokarev I.S.
the contractual work and minimizing the expenses for power consumed based on the artificial neural network models
BRICS Capital Markets Co-Movement Analysis and Forecasting
Maiti M., Vukovic D., Vyklyuk
in both time and frequency domain using wavelets. We used artificial neural network techniques to forecast
Patterns of electrical activity generated by biological neural network in vitro
Denisov, A. A., Bulai, P. M., Pitlik, T. N., Molchanov, P. G., Cherenkevich, S. N., Pashkevich, S. G., Dosina, M. O.
biological neural net- work developing in fully artificial conditions. This is a promising model for study
МОДЕЛИРОВАНИЕ АКТИВНОСТИ ИМПУЛЬСНОЙ НЕЙРОННОЙ СЕТИ С НЕЙРОНАМИ ИЖИКЕВИЧА
Хусаинова Лилия Рамзисовна, Агафонов Александр Алексеевич
MODELING THE ACTIVITY OF A PULSED NEURAL NETWORK WITH IZHIKEVICH NEURONS
АКТУАЛЬНОСТЬ ИСПОЛЬЗОВАНИЯ НЕЙРОСЕТЕЙ ДЛЯ PR-СПЕЦИАЛИСТОВ
Улитина А.В.
This article reveals the concepts of public relations and a neural network that closely interact
Application of Convolutional Neural Networks for Image Detection and Recognition Based on a Self-written Generator
Bienvenue M.M.N., Kozyrev D.
objects using convolutional neural networks is considered. The purpose of the work is to implement
Artificial Neural Networks for Evaluation of Psychophysiological State
Poryadin, A. E., Sidorkina, I. G., Порядин, А. Е., Сидоркина, И. Г.
In this document, we make an analysis of the possibility of using neural networks
Optimization of the parameters of an internal combustion engine using a neural network
the possibilities of an artificial neural network for optimizing the design and adjusting parameters of a diesel
Artificial intelligence in reproductive medicine; [Искусственный интеллект в репродуктивной медицине]
Zhukov O.B., Chernykh V.B.
and improvement of artificial intelligence systems that allow solving various complex tasks, applying them

Страница 11 из 1905

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