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MATLAB神经网络工具箱的介绍 是一篇很好的论文 介绍的很详细 (MATLAB neural network toolbox is a good introduction to the papers described in great detail)

Fire detection based on image processing algorithm. thresholded in yCbCr colorspace. if the fire exists on video, then the fire will be rectangled.

This is a compilation of programming hints and examples about how to use and program MAT- LAB, with a mind on numerical methods. At present time, this is work in progress, so it s important to know which version of this document you are dealing with. There will not be detailed explanations of the examples: I will specically concentrate on where I think you might have trouble or you might be learning something new.

清华大学小波分析教程 涵盖小波大部分领域 丰富实例 wavelet, matlab(Tsinghua wavelet wavelet analysis tutorial covers most areas of abundant examples of wavelet, matlab)

可以用来进行地震预测的matlab代码，直接模仿就可以用了(Can be used for earthquake prediction matlab code, you can use a direct imitation)

基于遗传算法的TSP算法的Matlab程序实现(Matlab program TSP algorithm based on genetic algorithm to achieve)

说明：  DEAP 数据库 EEG_feature.txt 包含了1216个脑电信号样本的160维特征，每行为一个样本，每列为一种特征。特征从左至右分别是每个脑电电极的theta（1-32列）、slow alpha（33-64列）、alpha（65-96列）、beta（1-97128列）、gamma（129-160列）波段的脑电特征。 subject_video.txt 包含了1216个脑电信号对应的32名被试和38段视频信息，其中包含两列。第一列是对应的被试编号，第二列是对应的视频编号。 EEG_feature.txt 与 subject_video.txt和valence_arousal_label.txt中每行都是一一对应的，例如subject_video.txt的第二行就是EEG_feature.txt中第二个样本（第二行）的被试和视频信息；valence_arousal_label.txt的第二行也是EEG_feature.txt中第二个样本（第二行）的愉悦度和唤醒度标签。valence_arousal_label.txt中第一列为愉悦度标签，1代表positive，2代表negative；第二列为唤醒度标签，1代表high，2代表low。 DEAP数据库并未提供情感类别标签。(EEG dataset, including DEAP database and MAHNOB-HCI database)

根据已有的二维波束成型进行功率分配后的曲线和阈值距离(about the 2d-beamforming of power loading and threshold distance )

The C Programming Language

说明：  一种基于matlab编写的免疫遗传算法程序，比较好，不过我看不懂，请高手指点。谢谢！(prepared by the immune genetic algorithm procedures, better, but I do not understand, please master guiding. Thank you!)