tongji-m

《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody! )

此蚁群算法专门用于求解tsp问题，优化效率和鲁棒性都非常好。(this ant colony algorithm tsp devoted to solving problems, and optimize the efficiency and robustness are very good.)

根据图像的世界坐标和在照片中的坐标，计算出摄像机的各个参数(Camara Calibration )

Sparse Subspace Clustering基于人脸分割的子空间聚类的原始代码，已验证没有错误，大家可以放下下载。(Sparse Subspace Clustering segmentation based on face subspace clustering source code, no errors have been verified, you can put down the download.)

依据LoG和Gilles斑点检测原理，利用matlab程序实现LoG和Gilles斑点检测(LoG and Gilles spot detection based on the principle of using matlab program implements LoG and Gilles spot detection)

Detecting spheres in matlab

求模糊控制器的高斯型隶属函数优化后的最小目标值 自己编的 请大家指教(For the fuzzy controller Gaussian membership function optimized minimum target own advice please everyone)

边缘检测Canny法的源程序,网上好像有人需要，所以就放上来了(Canny edge detection method of the source, the Internet seems to be any need, therefore Fangshanglai!)

说明：  矩形脉冲串信号的模糊函数matlab代码(Rectangular pulse function of the fuzzy matlab code)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)