投入产出直接消耗系数修订的神经网络方法

Neural Networks for Modifing and Forecasting Direct Consuming Coefficients

本文根据煤炭企业投入产出模型的特点,建立了其直接消耗系数修订的回归-自回归神经网络模型,并结合实际课题研究给出了直接消耗系数修订实例,为煤炭企业投入产出直接消耗系数修订提供了新的方法.

On the basis of the characters of coal mine Input-Output Model,A regres-sive-Autoregressive neural networks for modifing and forecasting direct consuming coefficients (DCCs) is proposed. Combined with the practical study works,some examples for modifing and forecasting DCCs is gived. It' s a new method to modify and forecast DCCs.