MATLAB智能算法30个案例分析 源代码

一小例子，关于tableview的，如下 (A small example, on the tableview, as follows)

说明：  北航数值分析大作业第一题：矩阵的QR分解求特征向量。代码是我在理学院本科期间写的，所有结果已经过Matlab及Mathematica验证，保证算法正确实现。(Numerical analysis of Beihang great job the first question: QR decomposition of matrix eigenvector. Code is written during my undergraduate logical Institute, all results have been verified through Matlab and Mathematica, to ensure it is correct to achieve.)

multiobjective Genetic algorithm with crowding distance

主成分自相关系数可以进行两组对变量的偏最小二乘回归分析(Partial least squares regression analysis can be two groups of variables)

通过EMD和wavelet对加噪信号去噪，改善信噪比后进行互相关，提高时延估计精度(To enhance the prediction of time delay,using EMD and wavelet methods to denoising the signal.)

卡尔曼滤波，详细介绍了其具体过程，写论文必用,一定要收藏(It s very useful to write papers with Kalman filtering algorithms.)

edge Assembly Crossover

fuzzy clustering technique

采用matlab语言实现的模糊控制例程，可以直接运行。(using Matlab language of fuzzy control routines can be run directly.)

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)