- 年份
- 2019(1)
共检索到1条记录
发布时间倒序
- 发布时间倒序
- 相关度优先
文献计量分析
- 结果分析(前20)
- 结果分析(前50)
- 结果分析(前100)
- 结果分析(前200)
- 结果分析(前500)
[期刊] Ecological Economy
[作者]
ZHANG Kun
Support vector machine(SVM) is a new technology in data mining. It is a new tool to solve machine learning problems with the help of optimization. Support vector machines belong to a new machine learning that extends from statistical learning theory. Its structure is relatively simple, with good generalization ability and global optimality. Support vector machine has provided a unified framework for solving finite sample learning problems, and there are many solutions proposed. It can deal with those more complex problems and introduce the characteristics of the support vector machine model. Aiming at the application of the model in economic forecasting, a method to improve the prediction accuracy of the model is proposed. The theoretical analysis and practical application verification are performed, which shows that this method can obtain more accurate prediction results.
文献操作()
导出元数据
文献计量分析
导出文件格式：WXtxt
删除
推荐搜索
THE ECONOMIC GROWTH OF LEUVEN(BELGIUM)
EXETER;REGIONAL CAPITAL; MODEL CITY
Influencing factors of forestry economic growth in Guangdong province
The "Middle Income Trap" in Economic Growth in Different Economies
Assessing China's regional efficiency of energy-saving and emission reduction using the target orientation approach of extended DDF model
CGE modEl-basEd analysis of thE nEutralizEd hybrid Carbon poliCy and its dEComposEd EffECts on EConomiC Growth;Carbon rEduCtion;and EnErGy utilization Costs
EnvironmEntal rEgulation and multiplE Equilibrium of Economic growth:thEory and EvidEncE from china
Coupling Coordination relationship of eConomiC growth and environmental quality in hebei provinCe
Thailand‘s economic growTh and sTrucTural developmenT projecTions in The conTexT of environmenTal conTrol
An empirical study on the relationship between Chinese environmental regulation and economic growth
