THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS

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DOI: 10.61432/cpne0301171i
Published: 2025-07-24
Container: COLLECTION OF PAPERS NEW ECONOMY
Publisher: Oikos Institute – Research Center, Bijeljina, Bosnia and Herzegovina
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Cite this work

BibTeX

@article{allodium:10.61432/cpne0301171i,
  title = {THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS},
  year = {2025},
  journal = {COLLECTION OF PAPERS NEW ECONOMY},
  doi = {10.61432/cpne0301171i},
  url = {https://doi.org/10.61432/cpne0301171i}
}

RIS

TY  - JOUR
TI  - THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS
PY  - 2025
JO  - COLLECTION OF PAPERS NEW ECONOMY
DO  - 10.61432/cpne0301171i
UR  - https://doi.org/10.61432/cpne0301171i
ER  -

APA

THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS. (2025). COLLECTION OF PAPERS NEW ECONOMY. https://doi.org/10.61432/cpne0301171i

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crossref · retrieved 2026-11-11T04:46:12.647Z