Analysing and forecasting the security in supply-demand management of Chinese forestry enterprises by linear weighted method and artificial neural network,Enterprise Information Systems

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Analysing and forecasting the security in supply-demand management of Chinese forestry enterprises by linear weighted method and artificial neural network
Enterprise Information Systems ( IF 4.4 ) Pub Date : 2020-03-17 , DOI: 10.1080/17517575.2020.1739343
Xuan Zhao ₁ , Shangzhi Yue ₁

Affiliation

ABSTRACT

To better forecast the security in supply-demand management of Chinese forestry enterprises and close the supply-demand gap due to short timber supply, the linear weighted method and artificial neural network (ANN) are jointly applied to forecast the security in supply-demand of the forestry industry. The theories of supply-demand management and early-warning systems are clarified. Indexes in the early-warning system are built by the ecological evaluation pressure-state-response (PSR) model. The optimised early-warning system by linear weighted method and ANN can analyse and forecast the security in supply-demand management of Chinese forestry enterprises.

更新日期：2020-03-17

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