神经网络实现的matlab代码（完整版）

傅立叶分解M文件，一直在用，非常好用，很经典-Fourier decomposition of M documents, has been in use, very easy to use, it is a classic

里面包含了一个用VC开发的二分法程序，牛顿迭代法程序源码-Which contains a dichotomy with VC development procedures, Newton iteration procedure source

计算作图的源程序-calculated mapping of the source

c4.5的源码决策树最全面最经典的版本-Bank of the most comprehensive source of decision tree of the most classic version

应用背景模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中，模糊C-均值( FCM) 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。关键技术改进的FCM算法，FLICM：Image segmentation based on local fuzzy C-means clustering algorithm

七大基本排序算法，已通过测试快速排序冒泡排序堆排序希尔排序归并排序选择排序插入排序

在许多情况下我们需要穷举组合的算法，比如密码词典。这个算法的关键是密码下标进位的问题。另外本例子中的写文件语句效率比较低，为了降低算法复杂度没有优化。如果要提高写文件的效率，可以使用缓冲区，分批写入。-in many cases we need exhaustive combination of algorithms such as password dictionary. The algorithm is the key indices into password-issue. Another example of this document written statement low efficiency, in order to reduce the complexity of the algorithm has not been optimized. If the document was to improve the efficiency, the use of buffer zones, into batches.

关于drbarr用C编的代码-on drbarr Part C code

自己做的一个kmean聚类程序,里面有例子和聚类程序 -Their clustering kmean to do a procedure, there are examples and clustering procedures

arithemetic code on visual c-arithemetic code on visual c++