1·The weak convergences of classical measure play an important role in random mathematics theory such as the classical probability theory.
经典测度的弱收敛在经典概率论等随机数学理论中有着很重要的作用。
2·The convergences of several genetic algorithms are studied by using Markovian chain theory in stochastic processes.
用随机过程论中的马尔克夫链理论研究了几种遗传算法的收敛性。
3·The limitation of adaptive MD receiver with LMP algorithm is that the algorithm convergences slowly.
MD接收机的应用受到了LMP算法收敛速度慢的限制。
4·Thirdly, we make the conclusion that the utility of the approximate core allcations convergences to the utility of demand set.
再次，通过前面所证明的结论得出近似核的效用收敛到需求集的效用；
5·Stimulation results demonstrate the convergences of expert system are well, and it can avoid falling into local minimum. It also has better fault tolerance and high stability.
仿真结果表明，此专家系统在训练中能够迅速收敛避免陷入局部极小值，而且同时具有较好的容错性和较高的稳定性。