based on the nerual networks pid controller,and which have benn simulated

这是一个用遗传算法来解决异或问题的小程序。-This is a genetic algorithm to solve the problems or differences of small programs.

可以用C++语言开发各种神经网络：BP，RBF，HOP~…………，使用前请看看说明文档，然后建立一个自己的项目文件，只要能明白作者的思路就能很方便地进行各种神经网络的设计，本人现在就在一个系统中使用它，目前这个开发包的版本已进入0.7了，但功能差不多，本人认为0.5这个版本用着也很方便，所以把他发来，大家共享。-C language can be used to develop a variety of neural networks : BP, RBF, HOP ~ ... ... please look at the use of pre-documented, and then the establishment of a project document, you will be able to understand the author"s ideas will be very convenient for the various neural network design, I in a system in which to use it, the current version of the development kit has entered 0.7, but the function almost, I think that this version of 0.5 is also very convenient, so he made to share.

利用空间表示的rcc8模型进行空间推理， 解决csp问题，可以自动产生csp问题，然后解决，利用了不同的算法并且做了比较，有仿真试验。-said that the use of space rcc8 model spatial reasoning, problem solving csp. csp can be generated automatically, and then resolved, the use of different algorithms and made a comparison, a simulation test.

libview的libsvm程序，它的应用比较方便。-libview the libsvm procedure, its application more convenient.

经典的BNP神经网络例子-classic example BNP neural network

线性M3网络及其示意图，用于检测M3网络冗余的算法-err

遗传算法的一个库，算法设置比较灵活，需要懂算法的人来下载-a genetic algorithm library, set up a more flexible algorithm, the algorithm needs to understand people to download

朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

利用OpenCV库实现的一个Kalman滤波的例子。-A Kalman filter example achieved with OpenCV.