mediantemporal

Function ACEPS - AR cepstra computation. Usage: c=aceps(frame[,p,cp,wlen]) (frame - vector of processed signal)

实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归(Multi-output support vector machine regression，Each output does not need to be a function of the regression)

Pressure composition diagram for binary components

for set up of sound in matlab u should use this programme

code source on matlab for som

第9章 聚类分析的码源，有效进行科学数据的处理，有例子，测试效果好！！(Chapter 9 clustering analysis source code, valid scientific data processing, there are examples of test results is good! !)

Simulink files: · HeaterTest.mdl Heater test model in Simulink(Requires HdataM) · TSKHeater.mdl Heater control using TSK alg(Requires HdataM,HdataF,HdataTd) · MamdaniTest.mdl Simple Mamdani test model(Requires Mdata) · Mamdani9Test.mdl 9 rule Mamdani test model(Requires Mdata) · Mamdani25Test.mdl" 25 rule Mamdani test model(Requires Mdata25) · EngineTest.mdl Vehicle engine test model in Simulink(Requires VdataM,VdataC) · MamdaniVehicle.mdl Vehicle control via simple Mamdani FLC(Requires VdataM,VdataF) · Mamdani9Vehicle.mdl Vehicle control via 9 rule Mamdani FLC(Requires VdataM,VdataF) · Mamdani25Vehicle.mdl Vehicle control via 25 rule Mamdani FLC(Requires VdataM,VdataF25) · OptimalVehicle.mdl Vehicle control via simple LQ alg(Requires VdataM,VdataC)

simulink中5节点电力系统的仿真模型及其参数设置(5 node power system in the simulink simulation model and its parameter Settings)

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

This is the complete information of the use of the image processing toolbox in matlab