第一章 计算机辅助设计与仿真技术概述

文章是介绍基于MATLAB开发的混合燃料电池汽车仿真软件ADVISOR2002的二次开发的方法(The article is to introduce the MATLAB-based development of hybrid fuel cell vehicle simulation software ADVISOR2002 the secondary development of methods)

简单、规范的DMC源码，应用于过热汽温控制，添有大量注释，可读性强。(Simple and standard DMC code for control of superheated temperature. Notes are added and it is readable for everyone.)

EEG signal classification by SVM

setPrompt(newPrompt) sets the Command Window prompt to the specified NEWPROMPT. NEWPROMPT can be one of the following: - a static string: setPrompt( >> ) => this is the default prompt string ( >> )

说明：  这是可在多钟人脸数据库运行的matlab程序，基于ICA,可做学习用(This is a clock face in a multi-run matlab program databases, based on ICA, do learn to use)

measured ACF of TRI RV

根据对真空蒸发镀膜的分析，在40×40的范围内分别蒸 发：1000、5000、10000、20000、30000个粒子。  利用2维数组记录每个点的粒子数。  初始粒的横纵坐标为0～40的均匀分布。  能量为（15，3）的正态分布。  在基体表面自由行走时损失1的能量。  若该点有粒子，即与其他粒子相遇时损失3的能量。  由低处向高处扩散，每扩散一层，损失4的能量，由高处 向低处扩散，损失3的能量。  当粒子的能量小于等于0时停留下来，该点的粒子数加1。  临界核的尺寸为10个粒子。  根据每个点粒子个数的不同，以不同的灰度显示这些点。 点越亮，则表示该点的膜越厚。  以图形方式显示粒子初始能量的正态分布情况(Based on the analysis of the vacuum evaporation coating, respectively, in the range of from 4040 evaporated: 1000,5000,10000,20000,30000 particles.  each point using 2-dimensional array to record the number of particles. The  initial grains transverse and longitudinal coordinates of a uniform distribution of 0 to 40. The  energy as a normal distribution (15,3).  1 energy losses in the substrate surface to walk.  point particles that 3 energy loss in the encounter with the other particles.  by the lower diffusion tops every diffusion layer, a loss of 4 energy diffusion from high to low, the energy loss of 3.  When the energy of the particles is less than or equal to 0:00 stay down, add 1 to the number of particles that point.  critical nucleus size of 10 particles.  these points, depending on the number of particles of each point is displayed in a different shade. Point, the brighter, the thicker the point of the fi)

iteractive calculation using matlab numeric

利用matlab编程实现RBF神经网络，利用训练模型算法，最后得到较精确的神经网络模型，里面的程序并不需要先前自己进行数据归一化处理(radial basis function)

matlab code for STL File Reader