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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Learning algorithm is the core of the subject of studying BP feedforward neural networks.

学习算法是BP前馈神经网络研究中的核心问题。

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The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.

设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。

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