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广东省科技计划工业攻关项目(2009CD080)

作品数:3 被引量:4H指数:2
相关作者:李亭陈志民宋婷婷冯德军崔英玲更多>>
相关机构:华南农业大学中山火炬职业技术学院日照职业技术学院更多>>
发文基金:广东省科技计划工业攻关项目广东省现代信息服务业发展专项资金扶持项目更多>>
相关领域:经济管理农业科学更多>>

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Early Warning Model of Diamondback Moth Based on ε-Support Vector Regression
2010年
The model for predicting vegetable pest diamondback moth was established based on E-Support Vector Regression algorithms in the multiply occurrence season of diamondback moth. The experimental data of diamondback moth in Guangdong vegetable were analyzed, and the result showed that when penalty factor c was 43, kernel function parameter k was O. 2, the better prediction result could be obtained by the early warning model of E-Support Vector Regression algorithms.
宋婷婷崔英玲冯德军杨敬锋
关键词:FORECAST
Land Evaluation Method Based on Decision Tree Produced by C4.5 and Fuzzy Decision被引量:2
2010年
[Objective]The aim was to overcome the shortage of being difficult to build land evaluation model when the impact factors had continuous value in the traditional land evaluation process,as well as to improve the intelligibility of the land evaluation knowledge.[Method] The land evaluation method combining classification rule extracted by C4.5 algorithm with fuzzy decision was proposed in this study.[Result] The result of Second General Soil Survey of Guangdong Province had demonstrated that the method was convenient to extract classification rules,and by using only 100 rules,quantity correct rate 86.67% and area correct rate 84.80% of land evaluation could be obtained.[Conclusions] The use of C4.5 algorithm to obtain the rules,combined with fuzzy decision algorithm to build classifiers had got satisfactory results,which provided a practical algorithm for the land evaluation.
杨敬锋李亭陈志民
Application Comparison of Association Rules and C4.5 Rules in Land Evaluation被引量:3
2010年
Association rules and C4.5 rules can overcome the shortage of the traditional land evaluation methods and improve the intelligibility and efficiency of the land evaluation knowledge.In order to compare these two kinds of classification rules in the application,two fuzzy classifiers were established by combining with fuzzy decision algorithm especially based on Second General Soil Survey of Guangdong Province.The results of experiments demonstrated that the fuzzy classifier based on association rules obtain a higher accuracy rate,but with more complex calculation process and more computational overhead;the fuzzy classifier based on C4.5 rules obtain a slightly lower accuracy,but with fast computation and simpler calculation.
李亭杨敬锋陈志民
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