GRNN的数据预测-基于广义回归神经网络货运量预测

这是urban_macro信道加卷积编码的ofdm程序。 包含文件有：qpsk.m qpsk调制程序 deqpsk.m qpsk解调 ofdm_siglepath.m 单径瑞利衰落程序 sigle_path_conv.m 单径瑞利衰落信道加卷积编码程序 ofdm_urban_macro.m urban_macro信道的ofdm程序 ofdm_my.m urban_macro信道加卷积编码的ofdm程序 viterbi.m viterbi译码程序 cnv_encd.m 卷积编码程序 sigle_path_conv.fig 为单径瑞利衰落信道加卷积编码结果 ofdm_conv.doc 仿真报告(This is urban_macro channel plus ofdm convolutional coding procedures. Include files are: qpsk.m qpsk modulation demodulation process deqpsk.m qpsk ofdm_siglepath.m single Rayleigh fading process sigle_path_conv.m single Rayleigh fading channel plus convolution coding process ofdm_urban_macro.m urban_macro ofdm channel program ofdm_my.m urban_macro channel plus ofdm convolutional coding process viterbi.m viterbi decoding process cnv_encd.m convolutional coding process sigle_path_conv.fig single path Rayleigh fading channel plus convolution coding results ofdm_conv.doc Simulation Report)

本书介绍射频微波系统设计，也包括其他阻抗匹配、天线等高频技术。(This book is about systems that operate at radio frequencies (RF) (including microwaves) where high-frequency techniques, such as impedance matching, are important.)

说明：  一本比较好的书：精通Matlab综合辅导与指南-源程序，和大家一起分享(A relatively good books: proficient in Matlab comprehensive counseling and guidance- source, and to share with everyone)

多种Rayleigh衰落信道的程序，单径和多径频率选择性(A variety of procedures for Rayleigh fading channel, single path and multipath frequency selective)

nice rastamat collection with guuud comments )

Sparse Subspace Clustering

基于英国舍费尔德大学开发的遗传算法工具箱函数，遗传算法的简单一元函数优化实例(Developed at the University of British Shefeierde based genetic algorithm toolbox function, genetic algorithm optimization of simple examples unary function)

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.)

Journal Related to PV modelling using MatLAB

说明：  烟花算法用于优化DBN算法程序，可以运行 欢迎测试(Fireworks algorithm used to optimize DBN algorithm program)