|Table of Contents|

Combined Forecasting Model of Soybean Seed Average Diameter Based on the Shapley Value(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2014年06期
Page:
910-914
Research Field:
Publishing date:

Info

Title:
Combined Forecasting Model of Soybean Seed Average Diameter Based on the Shapley Value
Author(s):
DUN Guo-qiang; CHEN Hai-tao; YANG Ji-long; LI Ruo-xi; DONG Bing-zhe; Ming Xiang-lan
Engineering College,Northeast Agricultural University,Harbin 150030,China
Keywords:
Soybean seed average diameter; Shapley value; Combination prediction
PACS:
S223.2
DOI:
10.11861/j.issn.1000-9841.2014.06.0910
Abstract:
Average diameter of soybean seed,as an important reference of breeding seed plate designing,the precise construction of average diameter of soybean seed forecasting model is very important.The linear regression model,grain weight physical model,quadratic regression model were built to predict the average diameter of soybean seed,and then contrastive analyzed prediction error of every forecasting model.Then the weight of every single forecasting model was determined by using Shapley value method,the combination forecasting model was built and used to predict average diameter of 5 Dongnong-52 soybean seed samples which were selected randomly.The results indicated that combination forecasting model’s prediction accuracy was higher than the selected individual forecasting models,the combined model had a smaller average error and decreased the fluctuation of error,the prediction of average diameter of soybean seed was feasible and effective.Meanwhile,the research provided a practical new method for relative physical parameters’ prediction of other crop seeds.

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Last Update: 2014-12-29