Application of Higher Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast

Autor: Zhang Liqin, Tian Xiaojing, Chabani Zakariya
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 7, Iss 1, Pp 893-900 (2021)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2021.1.00074
Popis: In order to improve the modelling efficiency in dynamic system prediction, this paper proposes a predictive model based on high-order normal differential equations to model high-order differential data to obtain an explicit model. The high-order constant differential equation model is reduced, and the numerical method is used to solve the predictive value. The results show that the method realises the synchronisation of model establishment and parameter optimisation, and greatly enhances the modelling efficiency.
Databáze: Directory of Open Access Journals