Series-Forcast

It s a useful thing helping you to pragramming the finite element with matlab.

PDE Application imageimprossing

EOF：经验正交函数分解!“实现时空场的离”具体可以参考黄嘉佑老师的《气象统计分析与预报方法》!这是来自“李建平”老师的EOF分解程序(EOF: Empirical Orthogonal Function! Specific Huang J. teacher meteorological statistical analysis and forecasting methods " can refer to" spacetime off! " Li Jianping teacher from EOF decomposition process)

MATLAB/SIMULINK Based Fuzzy Control of PUMA Robot

The (a) section of Figure 1 illustrates the Line Echo Canceller (LEC) residing in the access network where echoes occur. Other voice processing modules, such as Automatic Level Control (ALC) and Noise Reduction (NR), are shown merely for illustration purposes. On the terminal side, both acoustic and electrical echo can occur. If the voice terminal is a speaker telephone set with an open acoustical path from the speaker to the microphone, the effect of acoustical echo is combined with the effect of the network echo. Because there is only a miniscule delay between the electrical signal and its echo, the speaker/listener is exposed to an effect known as side tone. Typically, instead of mounting a LEC at the terminal, side tone circuitry is placed to control the amount of the returned energy. The (b) section of Figure 1 shows examples of echo canceller signals representing the following:

多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1](Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1])

一维函数逼近仿真和二维函数逼近仿真 matlab程序(Simulation of one-dimensional function approximation and two-dimensional function approximation process simulation matlab)

this program writes for data classification using Adaptive Resonance Theory 1(ART1)Network

带有级比调整的灰色预测代码 在灰色预测之前做级比检验，降低相对误差(GREY MODEL)

程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)