ganzhiji

运筹学的算法，用matlab实现， matlab for OR one by one (matlab for OR)

本程序用于对细胞图像进行边缘检测 （内含源程序m-file和例图）(This procedure is used to image cell edge detection (m-file containing source and illustration))

2017年0616，该频域分解（FDD）土木工程中的一个输出系统识别技术的流行，特别是在结构健康监测。作为一个输出的算法，它是有用的当输入数据是未知的。FDD是模态分析技术，生成系统的实现采用了频率响应（多）输出数据参考。所附的MATLAB代码实现了这一技术的模态参数识别。为了使用此代码，处理（趋势、过滤等）时间的历史数据必须存储在一个Excel文件（数据每一频道栏目）。检查“加速度。对于时间的历史文件的一个实例xlsx”。(In 2017, 0616, frequency domain decomposition (FDD), an output system in civil engineering, was popular in identification technology, especially in structural health monitoring. As an output of the algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique, and the implementation of the system adopts a frequency response (multiple) output data reference.)

说明：  Matlab验证码识别算法实现，详细见代码实现，要搭建Matlab环境(Matlab verification code identification algorithm, see the code implementation in detail, to build Matlab environment)

matlab数据的分析和统计课件，里面给出了几个例子。(matlab data analysis and statistics courseware, which gives a few examples.)

说明：  语音信号的数字滤波处理 加入高斯噪声再滤除,信噪比小于20分贝(Voice signal digital filter handle add further filtered Gaussian noise, signal to noise ratio is less than 20 dB)

本人修改过的elm的matlab算法，该算法比原来的elm的算法在超过3个神经元后的计算速度能明显加快！原理是运用函数产生列矩阵！！ ELM 是一种快速的神经网络算法，本人已经比较过，比很多流行的算法（BP,SVM）都快,而且效果很好，运行环境是matlab，可以测试所有的benchmark的数据(I modified elm of matlab algorithm elm than the original algorithm in more than three neurons after the computing speed can significantly speed up! The principle is to use functions to generate the matrix out! ! ELM is a fast neural network algorithm, I have a comparison, than many popular algorithms (BP, SVM) faster, and the effect of good operating environment is matlab, you can test all of the benchmark data)

用matlab的simulink环境下搭建的光伏发电仿真模型，内含三个simulink文件，解压后直接运行(PV simulation model used to build the next matlab simulink environment, containing three simulink file, run directly after decompression)

Module PV usning Simulink

互补滤波，应用在INS和磁罗盘融合姿态解算，详细说明(Complementary filtering, application integration attitude in solving INS and magnetic compass, a detailed description)