However, the training of NNs by conventional back-propagation (BP), i. e. the BP-NNs, has intrinsic vulnerable weakness in slow convergence and local minina.

• 常规的神经网络权值训练算法，例如误差反传算法，存在着收敛速度慢，容易陷入局部极值点等问题。