The model has low computational complexity, fast and constringency stability characteristics.
该模型具有计算复杂度低，速度快，收敛稳定等特点。
2
This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.
提出了一种在线进行调制识别的系统模型，并给出一种基于神经网络的快速收敛分类器算法。
3
The critical safety thickness of hidden cavity increases with the augment of hidden cavity section size, radial constringency, safety coefficient and surface loading.