<p>Quantum Neural Networks for Forecasting Inflation Dynamics</p>
Online Publishing @ NISCAIR
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Authentication Code |
dc |
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Title Statement |
<p>Quantum Neural Networks for Forecasting Inflation Dynamics</p> |
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Added Entry - Uncontrolled Name |
Alaminos, David ; Department of Mechanical Engineering and Energy Efficiency, University of Málaga, Campus El Ejido s/n, 29071 Málaga, Spain Esteban, Ignacio ; Department of Economics and Business, University of Málaga, Campus El Ejido s/n, 29071 Málaga, Spain Salas, M Belén; Department of Economics and Business, University of Málaga, Campus El Ejido s/n, 29071 Málaga, Spain Callejón, Angela M; Department of Finance and Accounting, University of Málaga, Campus El Ejido s/n, 29071 Málaga, Spain |
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Uncontrolled Index Term |
Inflation dynamics, Macroeconomic forecasting, Neural Networks, Quantum Computing, Quantum Neural Networks |
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Summary, etc. |
<p>Inflation is a key indicator in the economy that measures the average level of prices of goods and services, being an important ratio in public and private decision-making, so predicting it with precision has always been a concern of economists. This paper makes inflation predictions with different time horizons applying quantum theory through Quantum Neural Networks. The results obtained teach that Quantum Neural Networks overcome the predictive power of the existing models in the previous literature and yields a low-level of errors when predicting any change in the direction of the forecast trend.</p> |
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Publication, Distribution, Etc. |
Journal of Scientific & Industrial Research 2022-11-17 06:32:00 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/JSIR/article/view/68439 |
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Data Source Entry |
Journal of Scientific & Industrial Research; ##issue.vol## 79, ##issue.no## 2 (2020): Journal of Scientific & Industrial Research |
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Language Note |
en |
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