introduction-for-matlab

a source code for histogram in matlab

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.

约束优化算法：拉格朗日乘子法matlab程序(Constrained optimization algorithm: the Lagrange multiplier method and matlab program)

线性定常系统的频域分析方法matlab仿真程序(Linear time-invariant system frequency domain analysis methods matlab simulation program)

在matlab中很适用，很经典的产生几种测试噪声的程序。(In matlab it is applicable, it is the classic noise generated several test procedures.)

动态矩阵预测控制的matlab程序，简单易懂。(Dynamic Matrix Control matlab program, easy to understand.)

SVG模型仿真；静止无功发生器模型仿真；(SVG model simulation; static var generator model simulation;)

Mittag-Leffler function的matlab计算方法！.(Mittag-Leffler function of matlab calculation! .)

此程序可用于实现基于神经网络的工程性能预测。(this procedure can be used to achieve based on neural network projects performance prediction.)

说明：  经典的基本PSO粒子群优化算法的测试函数共享一下(Classic basic PSO Particle Swarm Optimization to share about the test function)