分数阶傅里叶变换计算方面的文章，另附程序清单

petriNet model

这个是我自己编写的高斯列主元消去法的VC程序,简单实用!-this is what I have written out of the Gaussian Elimination PCA VC procedures simple and practical!

实验室工作“神经计算网络”。他们实现了感知器。

给出了线性方程组的CG法、Gauss_Seidel、SOR、Jacobi、fem求解，-Linear equations given the CG method, Gauss_Seidel, SOR, Jacobi, fem solution

可以查询学生详细信息（学号、姓名、性别、入学时间、出生年月、电话、家庭住址・・・・・・），亦可查询简明信息（只含有姓名和年龄）；可增加、删除和浏览学生信息；可按“学号”，“姓名”查询；可用菜单实现上述功能。-students can find detailed information (school, name, gender, school, date of birth, telephone, family residence), can also inquire about the concise information (contained only the name and age); increase. View and delete student information; according to "study", "name" inquiries; menu can be used to achieve the above functions.

利用visual c++,实现线性回归算法的程序！-use visual c, linear regression algorithm to achieve the procedure!

kmeans algorthms code vb and test data

此代码为初始之VC之代码 喜欢此游戏的人可以下载来进行加工的动作 完全可运行在一般的Windows环境里面 但其余的环境则不保证能成功运行

该程序是用C语言写的采用了动量方法的BP神经网络，它具有极其强大的扩展性，可用于函数的逼近及分类识别等各方面，语言书写规范，其中大量使用了动态分配一、二维数组的方法，该网络实例中实现的是对某一函数的逼近，输入层为二层，中间层可自己设定多达十几层，逼近精度非常精确。读者可根据自己的需要设定各层的数目以及相应的训练样本进行训练与测试。-The program is written in C language using the momentum method of BP neural network, which has extremely powerful scalability, can be used for function approximation and classification in areas such as language specification, including large-scale use of a dynamically allocated one, two dimensional array of methods, examples of the network realize that the approximation of a function, for the second input layer, middle layer can be set as many as a dozen layers, close to very precise accuracy. Readers may need to be set in accordance with its own number of floors and the corresponding training samples for training and testing.

一个基于 c++的汉罗塔模拟源码,他可以选择移动几个塔,也可以选择是否需要终止64位塔的模拟过程-a c-based simulation of the Han Rota source, he could choose several mobile tower can also choose whether or not to terminate 64 tower simulation