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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 129 1 Money Change_experiment -10000-FULL.rar ... Tzouvelekas, Emmanuel. - : figshare, 2022 BASE Show details 2 Money Change_experiment -10000-FULL.rar ... Tzouvelekas, Emmanuel. - : figshare, 2022 BASE Show details 3 Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože Rožanec; Elena Trajkova; Inna Novalija; Patrik Zajec; Klemen Kenda; Blaž Fortuna; Dunja Mladenić In: Future Internet; Volume 14; Issue 5; Pages: 134 (2022) BASE Show details 4 Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain Leticia Monje; Ramón A. Carrasco; Carlos Rosado; Manuel Sánchez-Montañés In: Mathematics; Volume 10; Issue 9; Pages: 1428 (2022) BASE Show details 5 A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin Zi Ye; Yinxu Wu; Hui Chen; Yi Pan; Qingshan Jiang In: Mathematics; Volume 10; Issue 8; Pages: 1307 (2022) BASE Show details 6 Library for forecasting time series data from industrial sources ; Creación de una librería para predicción de series temporales de señales industriales Murillo González, Miguel. - : Consejo Superior de Investigaciones Científicas (España), 2021. : Universidad de Cantabria, 2021. : Universidad Internacional Menéndez Pelayo, 2021. : CSIC-UC - Instituto de Física de Cantabria (IFCA), 2021 BASE Show details 7 Management of reproduction of the livestock branch as the basis of its innovation-and-investment development ... Lavruk, Vitalii; Korzhenivska, Nataliia; Tkachuk, Vitalii. - : Unknown, 2021 BASE Show details 8 Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ... : Adaptive competences of children with Down syndrome - a ten-year follow-up ... Sarimski, Klaus. - : Pabst Science Publishers, 2021 BASE Show details 9 Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ; Adaptive competences of children with Down syndrome - a ten-year follow-up Sarimski, Klaus In: Empirische Sonderpädagogik 13 (2021) 2, S. 100-109 (2021) BASE Show details 10 NEURAL NETWORK MODELS AND METHODS IN THE TASKS OF PERSONNEL DEVELOPMENT MANAGEMENT IN COMPANIES ... Tretyakov, O.V.. - : Инфинити, 2021 BASE Show details 11 Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment Rangan Gupta; Christian Pierdzioch In: Energies; Volume 14; Issue 23; Pages: 8085 (2021) BASE Show details 12 A Brief Taxonomy of Hybrid Intelligence Pescetelli In: Forecasting ; Volume 3 ; Issue 3 ; Pages 39-643 (2021) BASE Show details 13 APPLICATION OF THE ECONOMETRIC APPROACH TO FORECASTING THE KEY INDICATORS IN RENTAL OPERATIONS ; ЗАСТОСУВАННЯ ЕКОНОМЕТРИЧНОГО ПІДХОДУ ДО ПРОГНОЗУВАННЯ КЛЮЧОВИХ ПОКАЗНИКІВ В ОРЕНДНИХ ОПЕРАЦІЯХ Ільїн, Валерій; Рогозний, Сергій In: The Economic Discourse; No. 3 (2020); 106-116 ; Економічний дискурс; № 3 (2020); 106-116 ; 2410-7476 ; 2410-0919 ; 10.36742/2410-0919-2020-3 (2021) BASE Show details 14 Подходы к стратегическому планированию в высшем образовании : магистерская диссертация ; Approaches to Strategic Planning in Higher Education Юрьева, Е. С.; Yureva, E. S.. - : б. и., 2021 BASE Show details 15 ПРОГНОЗИРОВАНИЕ КАК НАЧАЛЬНЫЙ ЭТАП УПРАВЛЕНИЯ ПЕРСОНАЛОМ ... Анисимова Наталия Анатольевна; Кутузова Анастасия Валерьевна; Рыбакова Галина Раисовна. - : Московский экономический журнал, 2020 BASE Show details 16 ЗНАЧЕНИЕ СОЦИАЛЬНОГО СТАТУСА И РОЛИ ЛИЧНОСТИ ДЛЯ ЦЕЛЕЙ КРИМИНОЛОГИЧЕСКОГО ПРОГНОЗИРОВАНИЯ ИНДИВИДУАЛЬНОГО ПРЕСТУПНОГО ПОВЕДЕНИЯ ... КАРАВАЕВА ЮЛИЯ СТАНИСЛАВОВНА. - : Вестник Саратовской государственной юридической академии, 2020 BASE Show details 17 Exploring Grey Systems Theory-Based Methods and Applications in Sustainability Studies: A Systematic Review Approach Javanmardi; Liu; Xie In: Sustainability ; Volume 12 ; Issue 11 (2020) BASE Show details 18 Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry Zhou; Liu; Luo... In: Energies ; Volume 13 ; Issue 9 (2020) BASE Show details 19 Forecasting Model for Stock Market Based on Probabilistic Linguistic Logical Relationship and Distance Measurement Aiwu Zhao; Junhong Gao; Hongjun Guan In: Symmetry ; Volume 12 ; Issue 6 (2020) Abstract: The fluctuation of the stock market has a symmetrical characteristic. To improve the performance of self-forecasting, it is crucial to summarize and accurately express internal fluctuation rules from the historical time series dataset. However, due to the influence of external interference factors, these internal rules are difficult to express by traditional mathematical models. In this paper, a novel forecasting model is proposed based on probabilistic linguistic logical relationships generated from historical time series dataset. The proposed model introduces linguistic variables with positive and negative symmetrical judgements to represent the direction of stock market fluctuation. Meanwhile, daily fluctuation trends of a stock market are represented by a probabilistic linguistic term set, which consist of daily status and its recent historical statuses. First, historical time series of a stock market is transformed into a fluctuation time series (FTS) by the first-order difference transformation. Then, a fuzzy linguistic variable is employed to represent each value in the fluctuation time series, according to predefined intervals. Next, left hand sides of fuzzy logical relationships between currents and their corresponding histories can be expressed by probabilistic linguistic term sets and similar ones can be grouped to generate probabilistic linguistic logical relationships. Lastly, based on the probabilistic linguistic term set expression of the current status and the corresponding historical statuses, distance measurement is employed to find the most proper probabilistic linguistic logical relationship for future forecasting. For the convenience of comparing the prediction performance of the model from the perspective of accuracy, this paper takes the closing price dataset of Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) as an example. Compared with the prediction results of previous studies, the proposed model has the advantages of stable prediction performance, simple model design, and an easy to understand platform. In order to test the performance of the model for other datasets, we use the prediction of the Shanghai Stock Exchange Composite Index (SHSECI) to prove its universality. Keyword: distance measurement; forecasting; fuzzy time series; probabilistic linguistic logical relationship; probabilistic linguistic term set URL: https://doi.org/10.3390/sym12060954 BASE Hide details 20 Assessing the quality of international trade and economic relations in the agricultural sector ; Оцінювання якості міжнародних торговельно-економічних відносин в аграрному секторі Хвостіков, Андрій In: Economies' Horizons; No. 1(12) (2020): Economies’ Horizons; 91-101 ; Економічні горизонти; № 1(12) (2020): Економічні горизонти; 91-101 ; 2616-5236 ; 2522-9273 (2020) BASE Show details Page: 1 2 3 4 5...7

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