人工神经网络是一种新的数学建模方式,它具有通过学习逼近任意非线性映射的能力。本文提出了一种基于动态BP神经网络的预测方法,阐述了其基本原理,并以典型实例验证。 Artificial neural network is a new mathematical modeling method, which has the ability to approximate any nonlinear mapping by learning. In this paper, a prediction method based on dynamic BP neural network is proposed, its basic principle is expounded and verified with a typical example.