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w4
- 自己编写的用于消噪的维纳matlab程序，用了递推算法~-their preparation for the denoising Wiener Matlab program, a recursive algorithm ~
FLch5eg1
- 采用CMAC网络对对频率为0.1572HZ的谐波进行辨识，选择联想单元A*=4，权值Wa=W1+W2+W3+W4- CMAC group program,include four sub-CMAC CMAC program 1
HK
- main是主函数，HK.m是分类算法函数，训练模式和待分类模式存放在Patterns.mat文件中，分为4个样本，其中w1和w3是训练模式，w2和w4是待分类的模式。
W4
- mimo code testing for the testing of a mimo system in the context to ML ZF MMSE
539
- Optical properties of chlorophosphate glasses of the type 50P2O5–30Na2HPO4–20RCl (R = potassium and lead) activated by 0×1 and 0×5 mol of Pr3+ and Nd3+ have been investigated. Optical band gaps (Eopt) have been reported for 0×1 and 0×5 mol concen
RANGEKUTTA_ODE
- THIS PROGRAM IS TO SOLVE THE 4TH ODE & THE RUNGE KUTTA IS USED IN ORDER TO SOLVE THE EQ <<SIN(X)*Y""=(1-X^2)*Y" -X*Y"-Y -Y+EXP(3*X)>> & THE BOUNDARY CONDITIONS ARE AS FOLLOW: Y=W1 Y =W2=F1 Y"=W3=F2 Y =W4=F3 F4=(1/SIN(X))*[(1-
Fuzzy-Neural-Network-by-matlab
- 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy net
lab2
- 1) Given a knapsack with the capacity M and some items with its weight and profit, to solve it using Greedy method and Search tree method. 2) Then compare this results with ones of 0/1 Knapsack problem based on the capacity of M. 3) These items