第3章具体介绍了多维教育艾真体的免疫算法的设计方法和仿真实验，分析了免疫性对网络安全的贡献。
Chapter 3 showed designing methods and simulation of immune algorithm for multi-dimension education agent, and analyzed roles of immunity to network security.
针对具有多维输出信息的系统，采用了一种树形神经网络的构造方法，并解释了其物理意义。
Aiming at a system with multi-dimensional output, the construction method of a tree - structure neural network is adopted, and its physical meaning is explained.
本文提出一种基于神经网络的多维自回归模型(AR, NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
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