1) cross target method
交叉目标方法
2) target-cross method
指标交叉法
3) targets crossing and dithering
目标交叉抖动
4) Cross-entropy method
交叉熵方法
1.
Taking software testing process as a Markov decision process,a Markov decision model of software testing is proposed in this paper,and by using a learning strategy based on the cross-entropy method to optimize the software testing,this paper obtains the optimal testing profile.
将软件测试过程处理成马尔可夫(Markov)决策过程,给出了软件测试的马尔可夫决策模型,运用交叉熵方法,通过一种学习策略获得软件测试的最优测试剖面,用于优化软件测试。
2.
In order to implement the algorithm,cross-entropy method and important sampling were used on the basis of Monte-Carlo technique.
基于Monte-Carlo模拟技术,运用交叉熵方法和重要样本实现了该算法。
3.
The experimental results show that it is easy and efficient choosing cross-entropy method to carry on the modeling of environment,and it has some advantages in solving tool path planning.
首先对刀具路径进行建模,然后对交叉熵算法进行描述并应用交叉熵方法对刀具路径进行求解。
5) cross bearings
交叉方位法
6) Cross Entropy Method
交叉熵方法
1.
Test Cases Selection Strategy with Cross Entropy Method
基于交叉熵方法的测试用例选择策略
补充资料：交叉
分子式：
CAS号：
性质：来自两个不同个体的配子结合，或为该过程的结束生成重组体。
CAS号：
性质：来自两个不同个体的配子结合，或为该过程的结束生成重组体。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条