Research on Deep Processing of Primary Products Based on DEA and Self-Adaptive Filter Forecasting

Lin Li; Bo Wang; Luo Chen

doi:10.4028/www.scientific.net/AMM.44-47.28

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Research on Deep Processing of Primary Products...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

28-32

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.28

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Online since:

December 2010

Authors:

Lin Li, Bo Wang, Luo Chen

Keywords:

Data Envelopment Analysis (DEA), Deep Processing of Primary Product, Self-Adaptive Filter Forecasting, Technology of Management

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