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基于概率积分法的多维参数预计实验
Experiments of Using Multidimensional Parameters Forecast Based on Probability Integral Method
【摘要】 提出了一种基于约束规则的多维参数优选来实现高精度预计的方法,通过偏差值、相对偏差值等指标加以评价。实验证明:采用多维参数进行预计是可行的,而且较于使用定维参数进行预计,其预计精度得到一定程度的提高。
【Abstract】 A method based on certain constraint rule to select the suitable one in order from multidimensional parameters to realize high-precision prediction is proposed and the effect will be judged by deviation value and relative deviation value. Experiments show that this method is completely feasible and its accuracy has been improved to some extent.
【关键词】 概率积分法;
模矢法;
多维参数;
【Key words】 probability integral method; pattern search method; multidimensional parameters;
【Key words】 probability integral method; pattern search method; multidimensional parameters;
- 【文献出处】 煤炭技术 ,Coal Technology , 编辑部邮箱 ,2016年06期
- 【分类号】TD325.2
- 【被引频次】4
- 【下载频次】69