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MATLAB 程式设计与应用,包含了即基本运算函数(MATLAB programming and applications, including that basic arithmetic functions)

matlab file to draw ellipse

对比粒子群算法中不同的权重因子C1C2对算法收敛的影响(different C1、C2 to particle swarm optimization)

数字图像处理中所用的灰度加权法，matlab源代码，用于处理图像求质心点坐标(Digital image processing method used in the weighted gray, matlab source code, image processing is used to find the centroid point coordinates)

用MATLAB回归非线性模型参数,用MATLAB回归非线性模型参数(Linear regression model parameters with MATLAB)

matlab编写的SVM分类程序，包含有数据。(SVM classification code including source data.)

Generate test guasian

This AttributeVisitor marks all methods that catch exceptions.

基于MATLAB的电力系统潮流计算的程序，比较完整，适合入门新手学习。(MATLAB-based power system load flow calculation program , complete and suitable for beginners novice learning .)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )