Predicting Model for Complex Production Process Based On Dynamic Neural Network

摘要

Based on the comparison of several methods of time series predicting, this paper points out that it is nec- essary to use dynamic neural network in modeling of complex production process. Because self-feedback and mutu- al-feedback are adopted among nodes at the same layer in Elamn network, it has stronger ability of dynamic ap- proximation, and can describe any non-linear dynamic system.