Resumen de Application of Higher Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast
Lixin Zhang, Xiaoying Tian, Zakariya Chabani
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.
