bp neural networks learning bp网络学习
BP neural networks learning algorithm BP网络学习算法
self learning bp networks 自学习bp网络
self-learning bp networks 自学习bp网络
BP neural networks with pattern extended input are used to estimate control parameters, and the learning speed is increased.
并采用具有模式增强输入的BP网络进行决策参数估计，加快学习的收敛。
The simulation results show that the learning and generalization capability of the new models are much better than the conventional BP networks.
几个典型实验的结果表明，与传统BP网络模型相比，新网络模型在学习能力和泛化推广能力方面都有明显提高。
The BP neural network combines with the SOM neural networks to form a intrusion detection learning model with relatively complete function.
将BP神经网络和SOM神经网络结合起来，组建功能相对完善的入侵检测学习模型。
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