?
Neural Network Modeling and What-if Scenarios: Applications to Various-Term Sales Forecasts
P. 122-126.
Kuskova V., Zaytsev D., Sokol A., Khvatsky G.
Language:
English
In book
International Society of Science and Applied Technologies, 2021
Yasnitsky L., Киросова А. В., Cherepanov F., Вестник спортивной науки 2012 № 5
Разработана компьютерная программа, предназначенная для прогнозирования результатов чемпионата мира 2013 года по легкой атлетике на дистанции 100 метров у мужчин. В основе программы лежит нейронная сеть, обученная на результатах предыдущих чемпионатов мира. Имеется демонстрационный прототип, который оценивает шансы на победу для каждого из пяти возможных претендентов. Помимо прогнозов программа позволяет оценивать влияние изменения параметров, характеризующих ...
Added: December 6, 2012
Erlygin L., Zholobov V., Baklanova V. et al., , in : 2023 IEEE International Conference on Data Mining Workshops (ICDMW) 1–4 December 2023, Shanghai, China. : Shanghai : IEEE Computer Society, 2023. P. 1247-1258.
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these estimates is crucial for effective risk management, informed model selection, and decision-making.To address this issue, our research introduces a method for uncertainty estimation. We employ a surrogate Gaussian process regression model. ...
Added: March 20, 2024
Kryuchkov M., Вестник Ижевского государственного технического университета 2013 № 4 С. 159-161
The paper presents a mathematical model of sports forecasting, implemented by means of artificial intelligence. ...
Added: January 17, 2014
Kryuchkov M., В кн. : Модернизация экономических систем: Взгляд в будущее (MESLF-2015). Вып. 53.: Прага : Vedecko vydavatelske centrum Sociosfera-CZ s.r.o., 2015. Гл. 1. С. 139-142.
В работе представлены математические модели систем построения прогноза зна-чений временного ряда, использующих в качестве входных параметров значения, наблюдаемые в прошлом. Основная идея, заложенная при проектировке и настройки прогностической модели, реализуется нейросетевыми методами. Дается описание видов трейдинга, к которым допустимо применение данных моделей: к таковым операциям относятся сделки, системы поддержки принятия решений для которых используют вероятность ...
Added: February 9, 2016
Istratov A., Хоменко И. И., Погодин А. В. et al., Вестник НПО им. С.А. Лавочкина 2017 № 4 С. 68-75
Рассматривается подход к прогнозированию температурных показателей оборудования космического аппарата (КА) в ходе выполнения научной программы для предотвращения перегрева. Предлагаются алгоритмы обработки данных, накопленных в ходе эксплуатации КА для определения температурных значений компонентов в указанные моменты времени. Представляется реализация программного комплекса. Проведенные эксперименты подтвердили возможность выявления аномальных тепловых режимов эксплуатации КА. ...
Added: January 12, 2018
Черепанов Ф. М., Современные проблемы науки и образования 2013 № 6 С. 1-8
A computer program with which you can obtain forecasts of the results of the Olympic Games in the unofficial team event has been developed. Program is based on a neural network trained on previous Winter Olympics. There is a demonstration prototype that allows us to estimate a place on the unofficial team classification for sev-en ...
Added: March 5, 2014
Arkhipova M., Смирнов А. И., Вопросы статистики 2020 Т. 27 № 5 С. 65-75
Agriculture is one of the most important branches of the national economy and the main supplier of food and raw materials for many industries. Crop production is the largest agricultural sector in Russia, which has recently been undergoing renewal and growth due to the intensification and application of modern innovative technologies for monitoring the state ...
Added: March 27, 2022
Decrouez G. G., Borovkov K., Gilson M., Journal of Applied Probability 2014 Vol. 51 No. 3 P. 837-857
The paper deals with nonlinear Poisson neuron network models with bounded memory dynamics, which can include both Hebbian learning mechanisms and refractory periods. The state of the network is described by the times elapsed since its neurons fired within the post-synaptic transfer kernel memory span, and the current strengths of synaptic connections, the state spaces ...
Added: September 29, 2014
Aristova U., Pasсhenko O., Системный администратор 2015 № 1,2
Рассмотрено развитие компьютерных интерфейсов на протяжении последних 10 лет, среди которых авторы выделяют три основных парадигмы их построения: завершившийся миметический скевоморфизм, пришедший ему на смену флэт, будущее интерфейсостроения – глитч или самонастраивающиеся интерфейсы. Прогнозирование осуществляется с опорой на антропологические и культурологические методы, позволяющие проводить аналогии между развитием интерфейсов и развитием культуры (арта, архитектуры и др.) ...
Added: January 23, 2020
Zhalinsky A. E., Российский криминологический взгляд 2008 № 4 С. 193-197
1. Description of the problem. Instrumental analysis makes it possible to find the arguments of adjudication on the bounders and structure of corpus delicti, its correlation to criminal and filling-up legislation. 2. Initial theses. Corpus delicti is regarded as that expressed in criminal law doctrine result of reorganization of orders of criminal law into other ...
Added: October 14, 2012
Vladimir V. Klinshov, Kovalchuk A., Franović I. et al., Chaos, Solitons and Fractals 2022 Vol. 158 Article 112011
Rate chaos is a collective state of a neural network characterized by slow irregular fluctuations of firing rates of
individual neurons.We study a sparsely connected network of spiking neuronswhich demonstrates three different
scenarios for the emergence of rate chaos, based either on increasing the synaptic strength, increasing the
synaptic integration time, or clustering of the excitatory synaptic connections. ...
Added: January 24, 2023
Khasyanova S. Y., Проблемы управления 2017 № 4 С. 37-44
This research is devoted to the investigation of the changes in the nature of the largest Russian banks policies regarding the control of risks and capital adequacy caused by the implementation of the new international business standards. The dynamic analysis of indicators used by banks internally for the capital adequacy assessment was performed within this ...
Added: November 27, 2017
Shklyar D., JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS 2019 Vol. 124 No. 5 P. 3522-3531
For the first time an evaluation of the whistler rate around the Earth is performed using results
from the neural network aboard the microsatellite DEMETER. It is shown that the rate of whistlers with low
dispersion calculated all around the Earth as a function of longitude vary between 1 and 6 s−1 during
nighttime (22.30 LT) and between ...
Added: June 17, 2019
I. K. Kusakin, Fedorets O. V., A. Y. Romanov, Scientific and Technical Information Processing 2023 Vol. 50 No. 3 P. 176-183
This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper clas- sification, and training of linguistic model BERT ...
Added: November 4, 2023
Makarov I., Mikhail Tokmakov, Lada Tokmakova, , in : Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015). Issue 1452.: Aachen : CEUR Workshop Proceedings, 2015. Ch. 9. P. 64-77.
There are many algorithms for 3D-shooter game artificial intelligence that are based on automatic target recognition with the help of ray casting, scriptbased event systems and many others. In such models game agents have an advantage over human player because computers do not need time for enemy recognition and target aiming processes. The main goal ...
Added: October 9, 2015
Trubochkina N. K., Мир техники кино 2019 Т. 1 № 1(13) С. 8-14
As a digital artist’s tools, the following digital imaging technologies were considered in the article: creating abstract images using a neural network without an input image, base don’t he artist’s psycho-emotional state; creation of images using a neural network - a stylist, at the entrance of which there is a base image and a stylization ...
Added: April 22, 2019
Nazarova V., Ульзутуева Б. Д., Управление финансовыми рисками 2017 № 3(51) С. 166-189
The purpose of this research is to develop a mechanism for forecasting foreign ex-change movements based on a combination of fundamental and technical approaches taking into account the speculative constituent in the pricing of a currency on the inter-national capital market. The significance of the work lies in the expansion of the practi-cal and theoretical ...
Added: December 27, 2017
Kryuchkov M., Rusakov S. V., Вестник Ижевского государственного технического университета 2015 № 2(66) С. 110-112
This paper describes the results of testing the neuronal technical trend indicator according to the exchange rate of Brent oil in 2014. Testing of the model was carried out on three time series, which characterized by their features. ...
Added: August 31, 2015
Sadovnichii V. A., Akaev A., Korotayev A. et al., М. : Издательский Дом "Наука", 2014
В коллективной монографии представлены результаты моделирования развития стран БРИКС, полученные к настоящему времени в рамках исследований по проекту «Математическое моделирование глобальной и региональной динамики в условиях модернизации системы науки и образования» Программы фундаментальных исследований Президиума РАН «Экономика и социология науки и образования». ...
Added: October 23, 2014
Pavolotsky A. V., Левицкая Н. И., Голуб А. О., Качество. Инновации. Образование 2015 № 2-2015 С. 33-43
The article considers several approaches for construction of learning intelligent systems - technologies for the automated control of knowledge. The authors provide descriptions of algorithms, as wel as examples and analysis ...
Added: April 7, 2015
Furmanov K. K., Balaeva O., Predvoditeleva M., Anatolia 2012 Vol. 23 No. 1 P. 17-31
In the last 20 years, the development of the Russian tourism industry has resulted in a dramatic change in the growth of the number of trips made by Russian citizens abroad, including tourist trips to the European Union (EU) countries; however, there is little research concerning outbound tourism from Russia. This study analyses the current ...
Added: January 23, 2013
Sviyazov V., Экономический журнал Высшей школы экономики 2023 Т. 27 № 3 С. 412-434
The problem of volatility forecasting with and without consideration of weekly seasonality effect (the weekend effect) is examined in this research. The question of the seasonality existence is understood in the following sense: do models, which incorporate seasonality, feature better forecasts? The fuzzy GARCH model, which accounts for a weekly seasonality effect is presented in ...
Added: October 28, 2023
Sviyazov V., Control Sciences 2022 No. 6 P. 21-28
Volatility modeling and forecasting is a topical problem both in scientific circles and in the practice. This paper develops an approach combining the GARCH model and fuzzy logic. The Takagi–Sugeno fuzzy inference scheme is adopted to fuzzify an original autoregression model (the conditional heteroskedasticity model). As a result, several different local GARCH models can be ...
Added: December 6, 2023
Furmanov K. K., Balaeva O., Predvoditeleva M., , in : Managing Tourism in a Changing World: Issues and Cases. : Лондон, Нью-Йорк : Routledge, 2014. Ch. 3. P. 17-31.
In the last 20 years, the development of the Russian tourism industry has resulted in a dramatic change in the growth of the number of trips made by Russian citizens abroad, including tourist trips to the European Union (EU) countries; however, there is little research concerning outbound tourism from Russia. This study analyses the current ...
Added: November 27, 2013