该自组织BP网络算法能够根据当前收敛状态自动调整学习率，使得网络收敛速度与学习率变化保持一致。
The algorithm can change network's learning rate followed by network's convergence state, and can adjust network's structure based on the neurons' change and their relationship.
通过收敛到一种理想状态，您可以期望系统处于或接近那一理想状态。
With convergence to an ideal state, you can expect the system to be in or near that ideal state.
这是Cfengine哲学中重要的一条法则：反复应用一些微小变化，直到系统收敛于一个稳定的预期状态为止。
This is an important statement of Cfengine's philosophy of applying small changes iteratively until the system converges to a stable, desired state.
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