Linear neural network, BP neural network, Hopfield neural network, Elman neural...

SOBI算法，采用二阶统计量进行盲分离。-SOBI algorithm, using second-order statistic for blind separation.

matlab环境下，对puma560机器人的工作空间运动轨迹做了轨迹规划，得到轨迹云图-matlab environment, the robot work space puma560 trajectories make the trajectory planning, the trajectory cloud

kmeans算法,许多同学做毕设需要用到-kmeans algorithm, many students needed to do to complete set up

fuzzy ebook. not very awesome but this is very useful for your fuzzy program.

遗传算法工具箱C++，本为Linux系统设计，现在改为在VC下能顺利编译而不需通过任何修改。基于面向对象方法设计，便于使用和扩展。-Genetic Algorithm Toolbox C++, This for the Linux system design, is now in the VC under the smooth adoption of the compiler without any changes. Method based on object-oriented design, easy to use and expand.

蚁群算法源代码，一个老外的例子-ant colony algorithm source code and an example of a foreigner

ARTMAP source code. include: Fuzzy ARTMAP, Default ARTMAP, Instance-Counting ARTMAP, Distributed ARTMAP-ARTMAP source code. Include : Fuzzy ARTMAP, Default ARTMAP. Instance-Counting ARTMAP. Distributed ARTMAP

Autolife模型是一个能够进行“开放式进化”的人工生命系统。每个Agent模型采用可以变化规则表长度的有限自动机模型建模。一方面Agent可以进行自我繁殖，同时模型中的选择机制没有采用显式的适应度函数而是采用能量消耗的简单模型而自发涌现出来，所以可以认为Agent模型是一个类Tierra系统。然而与Tierra、Avida等数字生命模型不同的是，Autolife模型进行了大大的简化，它界面友好，操作直接。虽然没有给每个Agent装配一个虚拟计算机，但是Agent与环境的耦合则可以看成一个图灵机模型，因此Agent可以通过变异而“任意”的编程序。通过Autolife模型，首先人们可以看到一般的生态系统中共存的现象：生物的大爆炸、大灭绝，Agent进化得越来越聪明；其次，用户可以通过变化不同的食物添加规则探索Agent与环境的关系；最后，如果允许Agent通过播种改变环境自动产生食物，那么组织的涌现就是一种不可避免的结果。Agent构成的组织具有自主运动的特性，还可以进行自我修复，可以说Autolife中的组织是一些真正的“活体”。-Autolife model is to conduct an "open-evolution" artificial life system. Each Agent can be used model changes the rules limited the length of the table automatic machine modeling. One Agent can be self-propagation, model selection mechanism not used Explicit the fitness function instead of using the energy consumption of a simple model to emerge spontaneously, so that the agent can be a model category Tierra system. But with Tierra, Avida digital life model is different Autolife model for greatly simplified its

计算机故障智能诊断系统 用户输入计算机的故障症状 即可由系统得出故障原因和相关的处理方法-Diagnose the system in computer s trouble intelligence Users input the trouble symptom of the computer Can be had cranky reason and relevant treatment methods systematically

本人编写的QR分解的神经网络算法，该算法用QR分解神经网络的隐含层矩阵，可以作为学术上的比较和分析。适合各种benchmark问题，本人还加了自动产生分类向量和自动适应各种函数的例子-I prepared the QR decomposition of neural network algorithm using QR decomposition neural network hidden layer matrix, can be used as an academic comparison and analysis. Suitable for a variety of benchmark problems, I also added automatically generated classification and automatic vector function to adapt to a variety of examples