frictional model and umat

该代码完成了LM算法，并附有详细的代码说明。(The code completion LM algorithm, along with a detailed code instructions.)

计算日期时间，可以显示不同颜色，主要用以计算上班日期，换班日期，十分方便。(Daliy Calc)

迭代学习控制算法的matlab程序，单输入单输出的。(Iterative learning control algorithm matlab procedures, single-input single-output.)

气象数据计算超等许,能够计算在风厂中气象数据的票性诡计(meteorological data superfine promised to calculate the wind plant meteorological data of the votes sexual tricks)

应用MATLAB编写的偏最小二乘法程序,且具有画图功能(MATLAB prepared by partial least squares procedure, which is drawing functions)

基于MATLAB进行标准化降水指数SPI计算程序，主要用于干旱分级的确定指数。(Standardized precipitation index SPI calculation based on MATLAB program, mainly used to determine the index drought classification.)

这是用C++做矩阵求逆和矩阵相乘，可以解简的线性方程。已验证，互相交流~(This is done using C++ matrix inversion and matrix multiplication, linear equations can be solved。)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

ABAQUS Fortran学习的一个简单例子

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foraging algorithm (Particle Swarm Optimization), abbreviated as PSO. It has the advantages of high precision and fast convergence. It is widely used in system identification, function optimization and other fields. The document pso.m is a particle swarm algorithm identification program. On this basis, it is necessary to write an object function calculation program to realize the parameter identification of different systems.)