msk

Multivariate Relevance Vector Machines

matlab编程 中文版第二版 电子书 简单介绍matlab的基本入门和程序实现(matlab programming Chinese version of the second edition ebook matlab briefly the basic entry-level and program implementation)

通过设定信号和阵源参数，以及阵列相位误差、阵列幅度误差，对阵列输出相关矩阵进行特征分解，生成宽带信号(By setting the parameter of the signal and the array source, as well as the the array phase error, the array amplitude error characteristic decomposition of the correlation matrix of the array output, and generating a wideband signal)

TCL Files to compare AODV,DSR and AntHocNet

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

These are little problems solved in Matlab refering to prediction of population

neuro anfis with Matlab

对测试图像进行基于PCA的特征提取,然后在特征空间进行标示(PCA-based feature extraction, and then the test image in the feature space marked)

基于matlab的NSGA2算例的大汇总，各种例子，不同情况，希望能共同学习。(Based on a large summary of NSGA2 matlab example, a variety of examples of different situations, hoping to learn together.)

本文详细介绍了在VC环境下调用Matlab文件的方法，可按照说明一步一步执行(This paper introduces in detail in the VC environment call Matlab documents can follow the step-by-step implementation)