program_6_15

Dynamic trianglur network (DTN) implementation in matlab source code

CSAAP lab2 bomblab自己做得(CSAAP lab2 bomblab)

MATLAB 模式识别的外文书籍,特别经典的研究生用书(Books in foreign languages MATLAB pattern recognition, especially the classic book Graduate)

分别生成圆，三角形，正方形，长方形的matlab(produce picture.)

这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行(This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run)

一个基于神经网络的手写体数字识别的matlab程序，可以自行进行神经网络训练并识别给出相应的结果(A neural network-based handwritten numeral recognition matlab program, the neural network can be trained to identify themselves and give the corresponding results)

说明：  Canny Edge Detector Algorithm and Matlab Codes

飞机大角度攻击的模型仿真程序，描述了在大角度攻击时的姿态控制参数的计算。(Model for large angle of attack aircraft simulation program, described the attack in the large angle attitude control parameter calculation.)

复合材料的优化,内容里边有很好的描述以及很多的计算实例,适合进阶学习(Objective of this Matlab s program was researched optimization analysis of laminated composite plates for determined the ultimate strength and stress effects of plate s under the regular and uniform out-loads. Therefore, generally Reissner s flat and thick shell finite element model (4Node-20Dof) was developed with first-order shear deformation theory (FSDT). Kirchhoff s classical laminate plate theory yields in adequate results for thick plates (a/th<20). This classical laminated plate (CLPT or CPT), was one of the first developed by Reissner with shear deformation theory. Afterwards, Mindlin was utulizated this shear deformation theory to accommodate rotary of inertia terms on per unit freedom. If this plate system s be very thick (a/th<10) than it is fail to shear deformation-motion and it s condition of adaptive shear stress on plate s top and bottom surface. While this conditions was produced on plate s segment when requered the shear correction factor of shear locking eff)

matlab中cart决策树源代码，用于数据的分类和预测。(source code in matlab cart decision tree for data classification and prediction.)