A novel fractional neural grey system model with discrete q-derivative

• Published in: Complex & intelligent systems Vol. 10; no. 5; pp. 6409 - 6420
• Main Authors: Xu, Zhenguo, Liu, Caixia, Liang, Tingting
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.10.2024; Springer Nature B.V; Springer
• Subjects: Algorithms; Artificial neural network; Complex systems; Complexity; Complexity theory; Computational Intelligence; Data Structures and Information Theory; Dynamical systems; Engineering; Forecasting; Fractional derivative; Grey model; Grey prediction; Intelligent optimization algorithm; Nonlinearity; Original Article; Polynomials; Time series; Uncertainty; Artificial neural network; Intelligent optimization algorithm; Grey model; Fractional derivative

The challenge of predicting time series with limited data has evolved over time due to nonlinearity, complexity, and limited information. It can be perceived as a mapping of dynamical systems in one-dimensional space. This article proposes a neural grey system to tackle this challenge. The system en...