Paper Title:
Research on Deep Processing of Primary Products Based on DEA and Self-Adaptive Filter Forecasting
  Abstract

To optimize agriculture structure, it is important to develop middle and lower factors of the industrial chain and to improve its technologies and management. The current efficiency is analyzed by qualitative ways and DEA. It is argued of the relationship between economy and deep processing of primary products. Then selection and forecast of technology is applied based on self-adaptive filter forecasting.

  Info
Periodical
Edited by
Ran Chen
Pages
28-32
DOI
10.4028/www.scientific.net/AMM.44-47.28
Citation
L. Li, B. Wang, L. Chen, "Research on Deep Processing of Primary Products Based on DEA and Self-Adaptive Filter Forecasting", Applied Mechanics and Materials, Vols. 44-47, pp. 28-32, 2011
Online since
December 2010
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