FFTtest123

二级模糊综合评价（以富营养化评价为例），matlab编写的(Two fuzzy comprehensive evaluation (as eutrophication assessment, for example), matlab prepared)

This is the program to build image pyramid and then we can decompose it in to the different layers.

fhn神经元模型的相图及临界线（运行fhn_separatrix.m就可以了）(draw the phase diagram and separatrix of FHN neuron model (just run the fhn_separatrix.m))

说明：  利用matlab相控阵工具，对相控阵进行仿真，有三个实用例子。(There are three practical examples to simulate the phased array with MATLAB phased array tool)

DDE服务器编写例程，实用DDEML类库实现，简单易用。(DDE server to prepare routines, practical implementation DDEML class, easy to use.)

Matlab Primer language 2011

color histogram through RGB components and cloud clustering also

对盲源分离中独立成分分析法的实现，包括去均值，白化，和牛顿迭代法进行的ICA分析。(The implementation of independent component analysis in blind source separation includes ICA analysis of mean value, whitening and Newton iteration.)

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)

说明：  A*算法机器人路径规划，利用matlab仿真实现。(A* algorithm robot path planning, and MATLAB simulation is used to realize.)