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chapman project machine

概率密度函数pdf画图，给出最大、最小的范围，可调整分辨率(Probability density function pdf drawing, give maximum and minimum range, adjustable resolution)

Differential equations are mathematically studied from several different perspectives, mostly concerned with their solutions —the set of functions that satisfy the equation.

二元ldpc译码器 min-sum算法 迭代次数固定 输入信号长度一帧512bits(binary ldpc decoder. min-sum algorithm。fixed iter number.512 bits/frame)

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.

Example in comparision between FDM and FEM in 1D problem

本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。(This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.)

An Adaptive Bimodal Recognition Framework using Sparse Coding for Face and Ear

遗传算法的一个例子。用来实现用遗传算法计算一个简单函数的最小值。(An example of the genetic algorithm)

这是一个标准的基本粒子群算法，可以在此基础上加入fun函数完成解。(This is a standard basic particle swarm algorithm, which can be added fun function to complete the solution.)