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Artificial neural pseudo-network for production control purposes

Fertsch, Marek - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 16 (2020) 1, pp. 7-13

Persistent link: https://www.econbiz.de/10012155582

Exploring neural network models in understanding bilateral trade in APEC : a review of history and concepts

Quimba, Francis Mark A.; Barral, Mark Anthony A. - 2018

Machine Learning algorithms, such as the artificial neural networks, are acknowledged to outperform several econometric procedures in predictions. Machine learning becomes popular for doing operations that practically require more efficiency and accuracy, derived basically from the algorithm's...

Persistent link: https://www.econbiz.de/10011993791

TRANSFORM-ANN for online optimization of complex industrial processes : casting process as case study

Miriyala, Srinivas Soumitri; Subramanian, Venkat R.; … - In: European journal of operational research : EJOR 264 (2018) 1, pp. 294-309

Persistent link: https://www.econbiz.de/10011801678

The effectiveness of central bank purchases of long-term treasury securities : a neural network approach

Tänzer, Alina - 2024

Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. This paper introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables...

Persistent link: https://www.econbiz.de/10014532350

Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks

Tänzer, Alina - 2024

This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools … Greenbook and SPF forecasts. Model estimation and forecasting is based on an expanding window scheme using quarterly U.S. real … results indicate that nonlinear data-driven ANNs are a useful method when it comes to macroeconomic forecasting. …

Persistent link: https://www.econbiz.de/10014532351

Using machine learning in detecting fake news

Bolotă, Ștefan; Asandului, Mircea - In: The review of economic and business studies : REBS 15 (2022) 2, pp. 53-66

Persistent link: https://www.econbiz.de/10014249368

Intelligent stock prediction : a neural network approach

Shahrour, Mohamad Hassan; Dekmak, Mostafa - In: International journal of financial engineering 10 (2023) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10014251199

A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Persistent link: https://www.econbiz.de/10013475217

Nowcasting unemployment using neural networks and multi-dimensional Google Trends data

Grybauskas, Andrius; Pilinkienė, Vaida; Lukauskas, Mantas - In: Economies : open access journal 11 (2023) 5, pp. 1-23

Trends keywords from other dimensions than job search leads to the improved forecasting of errors; however, the relationship …

Persistent link: https://www.econbiz.de/10014319223

Analyse the consumer preferences and purchases of electric vehicles purchases and developments

Kumar, Vinay - In: Contemporary studies of risks in emerging technology, part B, (pp. 87-95). 2023

Persistent link: https://www.econbiz.de/10014322343