These results show that the canonical correlation variable, in a more general context, will have optimal properties.
其结果说明典则相关变量在更一般意义下具有最优性质。
The real example of the sports result forecasting shows based on grey correlation variable weight combined forecasting has high fitting accuracy than …
通过单项运动成绩的预测实例,显示了基于灰关联变权的组合预测方法是一种比单一预测方法更能收到较好预测效果的佳法。
In addition, its built-in data correlation filters detect variable data, as well as preparing tests for data-driven load test generation.
另外,它的嵌入式数据相关性过滤器能够检查可变数据,并根据数据驱动加载测试需求进行测试。
应用推荐