exam4

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 )

使用遗传算法在自由空间下对机器人进行全局路径规划 matlab软件(The use of genetic algorithms in the free space of the robot global path planning matlab software)

A simple code for selective mapping

matlab编写的有关图像识别分类方法的源代码，有学习价值(matlab prepared by the image recognition classification of the source code, learn the value of)

matlab的经济工具箱介绍，包括函数的介绍应用等方面，具有很好的使用价值。(economic toolbox matlab introduction, including the introduction of applications such as function, with good use value.)

人眼感知对比度阈值模型的matlab仿真(The human eye perceives contrast threshold matlab simulation model)

说明：   这个函数可以产生阶越函数并且可以多次调用产生矩形函数(This function can generate the more function-order and can be multiple calls to generate the rectangular function)

温柔的形变模型分类器和两个不同的weak-learners决定树桩和感知。 问题是进行多层次的one-vs-all策略(Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron. Multi-class problem is performed with the one-vs-all strategy)

最新的基于matlab的tdpca的人脸识别的算别和代码，对人脸识别的有帮助(Based on the latest Matlab tdpca face recognition and other numerical code, Face recognition of the help! !)

HI THERE AM HERE HOW ARE YOU DOING