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SVM_matlab
- 利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息,所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析,最终拟合的结果是:均方误差MSE=2.35705 e-005,平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。-Make use of SVM linear regression testing. For the market index can predict the o
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- 风电发电MSE计算,读取CSV,EXCEL功率数据,计算均方差。-Wind power generation MSE calculations, read CSV, EXCEL power data to calculate standard deviation.
sas
- 利用SAS编写程序计算如下统计指标:ME MAE MSE MASE-Use SAS programming statistical indicators are calculated as follows: ME MAE MSE MASE
poisson_nlmeans
- An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images ca
