2014Anhui nongye kexueRequires access

Algorithm Research of Forest Short Term Weather Forecasting System

Jiang Bo-we

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Abstract

The minimum absolute error regression was compared with stepwise regression from the theory and uses the data collected from Forest Phenology Meteorological Station of Dongfanghong Forestry Bureau to conduct correlation calculation. The local rainfall area and rainfall samples were analyzed systematically. Calculation and analysis results showed that the minimum absolute error regression has better prediction ability,which has a positive significance on forest short term weather forecast.

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What this paper is about

The minimum absolute error regression was compared with stepwise regression from the theory and uses the data collected from Forest Phenology Meteorological Station of Dongfanghong Forestry Bureau to conduct correlation calculation. The local rainfall area and rainfall samples were analyzed systematically. Calculation and analysis results showed that the minimum absolute error regression has better prediction ability,which has a positive significance on forest short term weather forecast.

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Available abstract

The minimum absolute error regression was compared with stepwise regression from the theory and uses the data collected from Forest Phenology Meteorological Station of Dongfanghong Forestry Bureau to conduct correlation calculation. The local rainfall area and rainfall samples were analyzed systematically. Calculation and analysis results showed that the minimum absolute error regression has better prediction ability,which has a positive significance on forest short term weather forecast.

Key concepts: Term (time), Stepwise regression, Regression analysis, Regression, Linear regression, Meteorology, Mean absolute error, Environmental science

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