Prim-algorithm

february series code

Ts2型模糊自适应建模的程序，可以实现二型条件下的隶属度设置(type 2 fuzzy NN code)

bayesian classification聚类贝叶斯的分类算法(bayesian classification:Clustering of bayesian classification algorithm)

利用SOM神经网络设计矢量量化的码书，结果优于传统的LBG方法，失真度较小。(SOM neural network design use vector quantization codebook, the result is better than traditional methods LBG, distortion is small.)

对跳频通信同步状态的理解对跳频通信同步状态的理解(Synchronization of frequency hopping communication understood the state of synchronization status on the understanding of frequency-hopping communication)

HEED的分簇算法的matlab代码，注释详细，对初学WSN协议的同学很大帮助。(HEED clustering algorithm matlab code, detailed notes for the students of great help beginners WSN protocol)

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

学习MATLAB的教学课件，对初学者MATLAB有很大的帮助，(This paper is a courseware of matlab it is helpful for the beginner)

matlab例程 单色光的双缝干涉.rar(Matlab routines monochromatic light of the double slit interference. Rar)

It is a ant colony optimization based algorithms.