model_macine_asy_non_complet

Nermark-Beta method for calculating the structural responce

matlab插值与拟合，包含了ppt课件以及实例，方便于更好的理解与学习，还有程序代码(The interpolation and fitting_matlab)

说明：  一个简单的差分进化算法例子，包含算法的基本流程。(A simple differential evolution algorithm，which contains the basic process of the DE.)

随机神经网络(en: Stochastic Neural Networks)是一种人工神经网络，并作为人工智能的工具。它们向神经网络引进随机变化，一类是在神经元之间分配随机过程传递函数，一类是给神经元随机权重。(Random Neural Network (en: Stochastic Neural Networks) is an artificial neural network and artificial intelligence as a tool. They introduce random changes to the neural network, one is assigned a random process transfer function between neurons, one is to neurons random weights.)

Matlab 高级编程文档，内容丰富，详细(Matlab high-level programming document, detailed, rich)

lms自适应滤波算法lms自适应滤波算法(lms adaptive filtering algorithm)

单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)

说明：  C计时程序源代码 void mytime1() { static LARGE_INTEGER startTime QueryPerformanceCounter(&startTime) static LARGE_INTEGER timerFrequency (time C source code void mytime1 () (static LARGE_INTEGER startTime QueryPerformanceCounter ()

复旦大学自动控制理论matlab基础第2讲，关于matlab的知识(Matlab automatic control theory based Fudan University Lecture 2, on the knowledge of matlab)

（一）时域采样及其频谱 一．实验目的:1.熟悉Matable的实验环境,并学会 如何利用其进行对信号处理进行图形分析. 2.编程计算于模拟信号的连续频谱和离散采样信号的连续频谱,实现时域采样及其频谱分析,充分理解时域采样的特点及定理,并在实验过程中体会奈奎斯定理. 二．实验环境: MATABE软件平台 ((1) domain and a spectrum. Experimental purposes : 1. Matable familiar with the experimental environment, and learn how to use their right for signal processing graphics for analysis. 2. Programming from the calculation of continuous analog signal spectrum and from the San continuous sampling signal spectrum to achieve sampling and time-domain analysis of the spectrum, the time-domain fully understand the characteristics and sampling theorem. and the experimental process Experience Naikuishi theorem. 2. Experimental environment : MATABE software platform)