非线性动力学模型识别的人工神经网络方法及其应用

IDENTIFYING NONLINEAR DYNAMICS MODEL BY USING OF ARTIFICIAL NEURAL NETWORK AND ITS APPLICATION IN THE PREDICTION OF COAL MINING ROOF PRESSURE

摘要: 本文从微分方程数值解的观点讨论了时间序列分析的随机理论与现代非线性动力学方法的联系，就预报公式而言。非线性动力学方法更具有广泛性。

Abstract: Based on the opinion of differentiable equation numerical solving process, the relationship of modern nonlinear dynamics method and random method about time series analysis is discussed. Considering predictive formulation, the nonlinear dynamics method is more general.