基于粒子群优化的最小二乘支持向量机税收预测模型研究 (Research on Tax Forecasting Model Based on PSO and Least Squares Support Vector Machine)

Shujuan Zhang, Xiuqin Deng, Bo Liu. 基于粒子群优化的最小二乘支持向量机税收预测模型研究 (Research on Tax Forecasting Model Based on PSO and Least Squares Support Vector Machine). 计算机科学, 44(Z6):119-122, 2017. [doi]

@article{ZhangDL17-4,
  title = {基于粒子群优化的最小二乘支持向量机税收预测模型研究 (Research on Tax Forecasting Model Based on PSO and Least Squares Support Vector Machine)},
  author = {Shujuan Zhang and Xiuqin Deng and Bo Liu},
  year = {2017},
  url = {http://www.jsjkx.com/EN/10.11896/j.issn.1002-137X.2017.6A.026},
  researchr = {https://researchr.org/publication/ZhangDL17-4},
  cites = {0},
  citedby = {0},
  journal = {计算机科学},
  volume = {44},
  number = {Z6},
  pages = {119-122},
}