fp_growth，apriori算法的升级版，减少了扫描数据库的次数

一套高阶统计量计算的信号处理MATLAB程序库-set of higher-order statistics to calculate the signal processing procedures for MATLAB

详细讲解了动态规划的算法问题，再通过“装箱问题”等7个程序实例介绍解决动态规划问题的思路和方法。-Gave a detailed algorithm for dynamic programming problems, and through the " bin-packing problem" and other instances of seven procedures introduced to solve the problem of dynamic programming ideas and methods.

利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）-Fisher classifier using the data classification, and face painted in decision-making (including test data)

实现了RBF网络，已载入训练和测试样本，可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace

程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.

用9*9的矩阵显示字符0~9。 对BP网络进行训练后，可以识别带有一定噪声的字符。-Neural Nerwork。

基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation