| 基于GA-SVM的舰船装备临修经费需求预测模型 |
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| 引用本文： | 黄栋,费良.基于GA-SVM的舰船装备临修经费需求预测模型[J].数学的实践与认识,2017(13):91-97. |
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| 作者姓名： | 黄栋 费良 |
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| 作者单位： | 海军工程大学装备经济管理系,湖北武汉,430033 |
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| 摘 要： | 针对舰船装备临修经费需求预测得不到满意解的问题,运用遗传算法将SVM相应的参数进行优化,建立了基于GA-SVM的舰船装备临修经费预测模型.通过将GA-SVM模型与BP神经网络模型的预测结果进行对比分析,结果表明:GASVM的预测效果更优异,对舰船装备临修经费需求预测有更好的参考意义.
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| 关 键 词： | 临修 GA-SVM 经费预测 |
A Demand Forecasting Model for Ship Equipment Temporary Repair Funds Based on The GA-SVM |
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| HUANG Dong,FEI Liang.A Demand Forecasting Model for Ship Equipment Temporary Repair Funds Based on The GA-SVM[J].Mathematics in Practice and Theory,2017(13):91-97. |
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| Authors: | HUANG Dong FEI Liang |
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| Abstract: | Ship equipment temporary repair funds demand forecasting is not satisfied with the solution of the problem,using genetic algorithm to the corresponding SVM parameters optimization,based on GA is established-the SVM prediction model of ship equipment temporary repair funds.By using GA-SVM model and BP neural network model of prediction accuracy were analyzed,the results show that the GA-SVM prediction effect is more outstanding,temporary repair equipment of ship funds demand forecasting has a better reference. |
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| Keywords: | temporary repair GA-SVM funds demand forecasting |
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