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Sales Prediction Applying Linguistic Fuzzy Logic Forecaster
into trend and seasonal component. As the benchmark, we also apply the prediction based of sales the LFL-Forecaster provides the most accurate prediction in the out-of-sampleIn this contribution, we focus on sales...
Finance
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Forecasting Stock Market Trend using Prototype Generation Classifiers
Currently, stock price forecasting is carried out using either time series prediction methods or trend classifiers. The trend classifiers are designed to predict ratio of correctly predicted t...
IN - Informatika
- 2012 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
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Forecasting tourist arrivals: Google Trends meets mixed-frequency data
n this article, we examine the usefulness of Google Trends data in predicting Google Trends provides significant forecasting improvements over models without Trends) is more useful for accurate forecas...
Economic Theory
- 2021 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
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Forecasting Trend of a Group of Time Series Using F-Transform and Fuzzy Natural Logic
We present an idea to group time series according to similarity of their local trends and to predict future trend of all of them on the basis of forecast of only to their similarity. The we select on principal time...
BA - Obecná matematika
- 2015 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Insights into the accuracy of social scientists' forecasts of societal change
How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal c...
Education, general; including training, pedagogy, didactics [and education systems]
- 2023 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Time Series Forecasting Using Artificial Neural Network
The paper aims to verify the ability of artificial neural networks to model and predict time series with seasonal and trend pattern. In this study the effectiveness deseasonalizationand detrending as a basis for further neural netwo...
AE - Řízení, správa a administrativa
- 2015 •
- D
Rok uplatnění
D - Stať ve sborníku
The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice
of quality of client creditworthiness, prediction of risk rating of mortgages, the prediction of future trends in financial and economic data, the creation and optimizationThis article introduces utilization of soft comput...
AE - Řízení, správa a administrativa
- 2012 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Forecasting seasonal time series based on fuzzy techniques
into a trend-cycle, a seasonal component and an irregular fluctuation, the forecasting is a combination of individual forecasting of each of these constituents. More precisely, the trend-cycle and the seasonal com...
Applied mathematics
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Development of the method for predicting the resource of mechanical systems
forecasting methodology, which has finally allowed us to solve the urgent problem for forecasting the individual resource of technical systems, including unique and small series ones. A new methodology for forecasting the ...
Mechanical engineering
- 2019 •
- JSC •
- Link
Rok uplatnění
JSC - Článek v periodiku v databázi SCOPUS
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Forecasting the Behavior of Fractal Time Series: Hurst Exponent as a Measure of Predictability
= 0.5 indicates a random series while H > 0.5 indicates a trend reinforcing series. The larger the H value is the stronger trend. In this paper we investigate the use be predicted more accurately than those series with H v...
Applied mathematics
- 2016 •
- Jost •
- Link
Rok uplatnění
Jost - Ostatní články v recenzovaných periodicích
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