kalmanshugai2

Face for web is a feature of this Code and you can find out the reduce the size of an image according to the requirements you want so that it can be uploaded to the web using mtlab.

Hilbert矩阵的J、GS和SOR迭代(Hilbert matrix of J, GS and SOR iteration)

粒子滤波算法摆脱了解决非线性滤波问题时随机量必须满足高斯分布的制约条件，并在一定程度上解决了粒子群样本匮乏问题(Particle filter to get rid of the problem solving nonlinear filtering Gaussian random quantity must meet the constraints, and to some extent, solve the problem of lack of PSO sample)

Optic communication antenna angle

该代码是自己利用实际的大气污染数据编写的否定选择算法例程，验证否定选择算法的分类效果(The code is their actual air pollution data using negative selection algorithm written routines to verify the effect of negative selection algorithm classification)

线性主元分析教程，结构清晰，讲解易懂，容易上手的入门资料(a tutorial for PCA)

Power Flow Solution by Newton-Raphson Method

用matlab软件对HSUPA系统进行仿真，主要是调度算法之类(HSUPA systems using matlab software to simulate, mainly scheduling algorithm )

根据高斯模型假设，运用matlab语言模拟基因的结构算法，(Gaussian model assumes the use of the matlab language analog gene structure algorithm,)

说明：  作业车间调度问题(JSP)简单来说就是设备资源优化配置问题。作业车间调度问题 是计算机集成制造系统(CIMS)工程中的一个重要组成部分,它对企业的生产管理和控制 系统有着重要的影响。在当今的竞争环境下,如何利用计算机技术实现生产调度计划优 化，快速调整资源配置，统筹安排生产进度，提高设备利用率已成为许多加工企业面临 的重大课题.近年来遗传算法得到了很大的发展，应用遗传算法来解决车间调度问题早 有研究。(Job shop scheduling problem (JSP) is simply the problem of optimal allocation of equipment resources. Job shop scheduling problem It has become a challenge for many processing enterprises to adjust resource allocation, arrange production schedule as a whole and improve equipment utilization It is an important subject for us to study. In recent years, genetic algorithm has been greatly developed. It is very early to apply genetic algorithm to solve job shop scheduling problem)