采用CbCr椭圆聚类算法，matlab源码

Octave Neural Network rewritten to be compatible with Matlab.

说明：  SIMULINK教程，内含大量实例，由简入繁，轻松快捷掌握(SIMULINK Tutorial, containing a large number of examples, from simple to complex, quick and easy to master)

计算无线通信网络的效用值。采用s型函数，具备2个可调参数，分别控制中值和弹性。(The calculation of the wireless communication network utility value. S function, with two adjustable parameters, respectively, to control the value and flexibility.)

Kalman Example for robotics Visual Servoing(Kalman Example for robotics Visual Servoi Vi)

控制系统中pid控制的仿真模型，是simulink的模型的，希望对学习pid的同学有用。(control system pid control of the simulation model is the model of Simulink, pid hope that the right of students to learn useful.)

说明：  分子动力学模拟计算lammps计算弹性模量弹性常数(MD simulation interatomic potentials)

UWB Pulse Generator using Simulink

细胞神经网络，简称为CNN，由于其能够产生混沌吸引子，而被广泛应用于加密系统中，本代码为画出CNN的超混沌吸引子。(Neural networks, referred to as CNN, due to its ability to generate chaotic attractor, and is widely used encryption system, the code for drawing CNN super chaotic attractors.)

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.

matlab模型大全，金融统计/统计专业必备材料，包括非常完整的讲解及例题，如回归分析及各类参数分析等。(matlab model Guinness, financial statistics/statistical expertise necessary materials, including a very complete explanation and examples, such as regression analysis and analysis of various parameters.)