PROG5

MATLAB100个编程实例 易读MATLAB100个编程实例 易读MATLAB100个编程实例 易读(very good very goodvery good)

染色体识别与统计,matlab图像处理，染色体识别与统计,matlab图像处理(Chromosome identification and statistics)

说明：  matlab算法，grubb，dixon准则等实现剔除异常实验数据(matlab learning)

用于模拟电磁波在光子晶体中的传播，使用平面波展开法，利用完美耦合的吸收介质层以提高计算效率。(Used to simulate the electromagnetic wave propagation in photonic crystals using plane wave expansion method using perfect coupling absorbing medium layer to improve computational efficiency)

基于图像处理的HOG特征提取，可根据参数设置来确定自己设定的HOG特征(determined according to its own set of parameter settings)

这个代码可以画出一个具有一定倾角的规则长城(This code can draw a certain angle with the rules of the Great Wall)

光伏发电功率主要受太阳辐照度影响，所以准确预测太阳辐照度对光伏功率预测十分重要。程序采用小波分解先对辐照度数据进行分解，然后再用bp神经网络对分解的辐照度数据分别预测，再组合作为最后的预测结果。(Photovoltaic power generation is mainly affected by solar irradiance, so accurate prediction of solar irradiance is very important for photovoltaic power prediction. The program uses wavelet decomposition to decompose the irradiance data, then uses BP neural network to predict the decomposed irradiance data separately, and then combines them as the final prediction result.)

matlab对滞回模型的校准程序，主要是校准改进I-K滞回模型的校准(Matlab in the civil engineering)

说明：  这个程序简单的介绍了OFDM的变体f-ofdm的误码率(This program simply introduces the bit error rate of the variant f-ofdm of OFDM.)

Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。(Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifier).)