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连续hopfield神经网络的优化思想用于求简单函数极值(the use of hopfield nerural network to achieve the minimum of a function)

说明：  RRT 的思想是快速扩张一群像树一样的路径以探索（填充）空间的大部分区域，伺机找到可行的路径。(The idea of RRT is to rapidly expand a group of tree-like paths to explore (fill) most areas of space, waiting for the opportunity to find feasible paths.)

Matlab file computing the heat transfer in a rectangular region.

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

张正友相机标定和二灭点法相机标定的ppt讲解，附带二者的matlab程序，可运行(Zhang Zhengyou camera calibration and two-vanishingpoint method of camera calibration ppt to explain, with both matlab procedures, operations)

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.

哈尔滨工程大学研究生随机过程实验作业，里面有作业matlab源程序(Harbin Engineering University Graduate random process lab assignments, which has an operating matlab source)

蜂群算法求解电力系统问题,很方便，很有效，快速求解。(the ABC are used to solve power system)

用MATLAB仿真谱估计中的MUSIC算法(MATLAB simulation spectrum estimation using the MUSIC algorithm)

此方法是层析分析法的一个较好的程序，可以用于数学建模竞赛等领域。是不错的收藏啊啊啊啊(This method is a better program, chromatography analysis can be used in areas such as Mathematical Contest in Modeling. Good collection ah ah ah ah)