Abaqus-to-Matlab-software

云分类器，一种基于云模型理论的分类程序。程序中使用云分类器对Iris数据集进行了测试(cloud classifier, a theoretical model based on cloud classification procedure. Procedures used for cloud classification of Iris data set for testing)

Sir i need the coding for Artificial neural network

张正友标定法，读取张正友的数据处理。在simon的基础上添加了少量注释，改正了新版本levenberg-marquardt不能运行的问题。(Read Zhang Zhengyou calibration, data processing. Add a small amount of notes on the basis of Simon, a new version of Levenberg-Marquardt cannot run to correct the problem.)

计算时间序列的Hurst系数有许多方法，但是其中最准确的就是利用小波法来计算，本程序用Matlab实现了用小波来计算Hurst系数。(Calculation of the Hurst coefficient of time series has a number of ways, but one of the most accurate method is to use wavelet basis, the procedures used to achieve the use of Matlab to calculate the Hurst coefficient of wavelet.)

K-Means聚类算法 Matlab代码，内有程序注释。(K-Means Matlab)

涵盖四种绘制三维图的方法，适合初学者，供参考(this zip consists of four methods for drawing 3D maps)

最优化技术方法及MATLAB的实现图书。里面有关于最优化设计案例，书不到200页(Optimal realization of technical methods and MATLAB books. There on the optimal design case, the book is less than 200)

本资料对十大算法中的dijkstra算法进行了matlab的实现(dijkstra algorithm)

已知结构功能函数z 577X1X2-0.5X3X3 ，其中： X1服从正态分布，0.5,0.1 X2服从正态分布，3,0.05 X3服从对数正态分布，30,0.05 采用当量正态化法,响应面法，蒙特卡罗法等并用MATLAB编程实现。(Engineering reliability analysis Equivalent normal distribution method.txt，Monte carlo sampling method directly.txt，Monte-carlo important sampling method.txt，response surface method)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)