rmsa

说明：  分布式环境的计算，课件的使用，以及各种资源。。。(The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, extended Otsu method, improved Otsu combined with genetic arithmetic and adaptive segmentation method based on LVQ network. It is written in a good structure. )

一个简易计算器界面,采用matlab语言编写,共享资源(a simple calculator interface using Matlab language, sharing resources)

在网上找到的代码 在网上那个找到的系统辨识与自适应控制程序 大家分享(Online to find the code online that found in the system identification and adaptive control procedures to share)

说明：  比例准谐振控制器 求差分方程系数函数, 比例谐振（PR）控制器的学习过程记录(Proportion, Resonant, PR)

matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。(matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.)

说明：  《变迹相移光纤光栅传输谱的研究》仿真代码请搜索“光纤光栅的传输谱特性,研究了均匀光栅，相移光栅，啁啾光栅的特性”(&quot Phase shift of apodized fiber grating transmission spectrum of&quot simulation code search for &quot fiber grating transmission spectrum characteristics of a uniform grating, phase shifted grating, chirped grating characteristics&quot )

多目标优化算法moea/d算法代码的源代码，遗传算法，进化算法。(Multiobjective Evolutionary Algorithm Based on Decomposition)

说明：  线性二自由度车辆模型状态参数估计粒子滤波算法，车辆理想状态向量已和观测向量已给出(Linear two degrees of freedom vehicle model state estimation particle filter, vehicle and observation over the state vector has been given vector)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

这是一个外弹道的简单matlab仿真，其中包含了四节龙格库塔方法（自己编写）程序并用matlab GUI加以实现，可以作为GUI学习的参考，是西北工业大学探测制导与控制技术专业本科课程设计的内容。(This is a simply simulation program by matlab, which contains four Runge-Kutta method program and be realized by matlab GUI,it can serve as a reference for learning GUI,it is from Northwest Polytechnical University probing Guidance and Control Technology undergraduate courses content design. )