student_management

mtlab code for finding protein coding region in DNA strand

遗传算法求解tsp包括论文和源程序以及必要说明(MATLAB tsp )

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY)

三次样条插值法用于特征分析的时候，而且可用于emd 方法中。(Cubic spline interpolation method for feature analysis, and can be used in the emd methods.)

对已给定生成矩阵的卷积编码进行Viterbi解码，输出解码结果，留存路径以及度量(Have been given generator matrix Viterbi convolutional coding output a decoded result, and retained path metric)

做了詞法分析器，不知道怎樣，希望有人給我提提意見(Done a lexical analyzer, I do not know how, I hope someone is going to give me make a suggestion)

Matlab simulation of Lagrange s Equations.

模式识别常用的工具箱，包括各种距离度量等必须的算法(Commonly used pattern recognition toolbox, including a variety of distance measures such as the algorithm must)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

说明：  此源码为多变异位遗传算法，具有执行效率高、效果好的特点。(This source is variable ectopic genetic algorithm, with the implementation of high efficiency, good effect.)