Abstract:
This paper analyses fuzzy support vector regression, presents a new fuzzy support vector regression method based on time series analysis (TS-FSVR), and optimizes parameters of model by particle swarm optimization (PSO). This method is successfully used to the evaluation system of tour-environment carrying capacity. The experimental results show the method is feasible.
Key words:
time series,
support vector regression,
fuzzy membership,
particle swarm optimization
摘要: 在分析了模糊支持向量回归的基础上,给出了一种基于时间序列分析的模糊支持向量回归方法TS-FSVR,并通过粒子群优化方法对模型中的参数进行了优化。并将该方法成功地应用到城市旅游环境承载力的评估系统中,取得了较好的实验结果。
关键词:
时间序列,
支持向量回归,
模糊成员,
粒子群优化
CLC Number:
ZHANG Yong; CHI Zhong-xian. Fuzzy Support Vector Regression Based on Time Series[J]. Computer Engineering, 2007, 33(19): 47-48,5.
张 永;迟忠先. 基于时间序列的模糊支持向量回归[J]. 计算机工程, 2007, 33(19): 47-48,5.