基于移动窗口和动态优化的支持向量回归在指数预测中的应用
Computer Applications and Software(2011)
Abstract
证券投资是一种高风险、高收益的理财方式,而对市场运行趋势的良好把握有助于投资者回避风险、把握机会。提出基于移动窗口和边界动态缩放的PSO动态优化的在线支持向量机回归方法,预测沪深300指数的短期走势。模拟实验证明,该方法和传统学习方法相比,在测试的精度和实时性上都有较大的提高。
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Key words
Securities investment Moving average line Support vector machine
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