HOPFIELD的一个经典用例，解决TSP问题，代码完整，是我自己编写的哦...

内附两个源代码，其中一个源代码是识别程序的，另一个是一个矩阵类库的，所以一并附上。 ~..~因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 -containing 2 source code, which is a source identification procedures, and the other is a matrix class library. So accompanied. ~ ~ .. Has been preserved because of the trained network weights, the first use of the identification procedures, can be run directly Release directory executable file, Then the catalog of tests conducted read into the picture, recognition. Certainly readers can use their own training samples training network, but special attention should be paid to the choice of training samples, Otherwise, it could cause a very low recognition rate. Training sample selection principle is that as far as possible be representative, in the training of the time not too long under the circumstances, the number of training samples as much as possible.

一个遗传算法例子-example of a genetic algorithm

介绍了神经网络模式识别的基本知识，适合于模式识别领域的人员-it introduces the ABC of the pattern recognation of NN, it is for the people of pattern recognation

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

workbench的应用开发-application development workbench

神经网络的HP算法，这是神经网络入门的好程序-HP neural network algorithm, this neural network is a good entry procedures

用免疫算法来实现TSP问题的求解，程序全，可以运行。-Using immune algorithm to achieve the TSP problem solving, program-wide, you can run.

一个简单的fisher分类器代码,并含有实验用的两个数据集合.-a simple fisher classifier code, and contains the two experimental data sets.

用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.

不错的自组织神经网络算法，程序有注释。能运行，效果还行。-good self-organizing neural network algorithm, the procedure Notes. Can run, the results were OK.