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卡尔曼和维纳滤波器的设计及使用 附带源代码(Kalman and Wiener filter design and the use of collateral source code)

ROBOT intelligente control_chapiter3

课后习题数字信号处理的MATLAB实现Date代码(Homework digital signal processing in MATLAB Date code)

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)

matlab丛书——GUI精通matlab图形界面编程(pdf BOOK :tutorials for mastering the progarming the GUI gracphic user s interface in matlab)

51全面参考书籍，非常好，有需要的请尽快下载。(51book，download be quick !)

说明：  正交频分复用最大似然仿真，下载立即可用。。。(ofdm of matlab)

将Iris数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 　　使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each flower. One set of sample programs as more training, another group as the test samples. To facilitate training, the three types of flowers were numbered 1,2,3. Training before using these data a 4-input (respectively 4 features), 3 outputs (respectively the possibility should belong to a variety of sample size) to the network.)

channel equalisation using anfis

说明：   基本粒子群优化算法Matlab源程序 (Elementary particle swarm optimization algorithm Matlab source code)