gardner

自己写的，将数据归一后，使用前馈神经网络进行预测(standerize data, use FNN to predict data series)

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

Robot arm length and path

matlab数学源程序，用于调用：欧拉积分的matlab编程(matlab euler)

层次分析法matlab实现，输入判断矩阵，计算权向量并做一致性校验(Level analysis matlab, enter a judgment matrix, and calculate the weight vector and a consistency check)

本程序是关于常微分方程初值问题数值解的欧拉算法及线性多步法的matlab代码，对初学者有帮助，例题用的李荣华的微分方程数值解法第一章的习题(This program is about Euler algorithm for numerical initial value problem of ordinary differential equations and linear multistep method matlab code, useful for beginners, examples of Li Ronghua s numerical solution of differential equations of the first chapter exercises )

tham khao mo phong ofdma

C# code for software engineer and student who want to learn

Quade test for non parametric two way ANalysis Of VAriance

MATLAB的一些基本命令和常用函数，非常适合初学者(MATLAB commands and some basic common functions, ideal for beginners)