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


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In order to improve the efficiency of dynamic system prediction modelling, this paper proposes a predictive model based on high-order normal differential equations 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 achieves the synchronisation of model establishment and parameter optimisation, in addition to greatly enhancing the modelling efficiency.

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka