Objective To study the relationship between individual characteristics and blood pressure under conditional learning stress.
目的分析限定性学习紧张状态下，个体特征和血压的关系。
Some simulation results show the rationability of stable in the conditional expectation and the efficiency of improved iterative learning control law.
一些仿真结果表明给出的依条件期望稳定的合理性，改进的迭代学习控制律和稳定性定理的有效性。
A new QBC method is presented by combining vote entropy and class conditional posterior maximum entropy for learning TAN classifier.
同时提出了基于投票熵与类条件后验最大熵相结合的QBC算法。
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