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Sztuczna inteligencja zastosowana do prognozowania zrównoważonych funduszy

Sztuczna inteligencja zastosowana do prognozowania zrównoważonych funduszy

Fabiano Pedroso / Irene Zaparolli

65,49 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786208975050
65,49 €
IVA incluido
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Sobre IBD

W niniejszym badaniu opracowano model prognozowania szeregów finansowych, koncentrując się na indeksie zrównoważonego rozwoju przedsiębiorstw (ISE B3) i funduszu ISUS11, przy użyciu technik sztucznej inteligencji i uczenia maszynowego. Badanie łączy filtr Kalmana i sieć neuronową Bi-LSTM przy użyciu metod zespołowych, w celu uchwycenia złożoności i zmienności rynków finansowych. Model 3, który łączy oba modele, wykazał najlepszą wydajność, z 90-procentową dokładnością w szacowaniu szczytów i dolin. Połączenie modeli okazało się skuteczne w poprawie dokładności i odporności prognoz, podkreślając znaczenie podejść hybrydowych.

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