Agnostic-Active

说明：  等参元计算应力应变问题的有限元程序,matlab编写。(finite element program for plane stress problems)

给定离散地震动加速度数据a、反应谱控制周期点tp、离散时间间隔dt、阻尼比z，计算地震动加速度反应谱rspa以及最大反应值出现的时刻tMax。(Given the discrete ground-motion acceleration data a, the response spectral controlling period tp, the discrete time distance dt, and the damping ratio z, calculate the ground-motion acceleration response spectrum rspa and the time loction of the occurrence of maximum response.)

a logistic regression in matlab

通过配置参数来计算导入的LPFG（.xls格式data）的中心波长，适于计算中心波长漂移(Thougth setting/change the parameter to obtain the attenuation central wavelength of the LPFG.)

说明：  这是用matlab开发的pso工具箱，直观实用，对做这方面研究的人员很有用处(this is the development of PSO Matlab Toolbox, easy to use and the right to do this study of useful)

to obtain the scattering width of the TM wave

l1_ls: A Matlab solver for l1-regularized least squares problems.

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

MIMO（多输入多输出）信道模型建matlab环境，瑞利信道下mimo无线通信系统的仿真模及仿真(MIMO (Multiple Input Multiple Output) channel model matlab built environment, Rayleigh fading MIMO wireless communication system simulation mode and simulation)

Face Detection System matlab实现的人脸识别系统，含有9个源代码文件，及上百幅人脸图片(Face Detection Systemmatlab realize the face recognition system, containing nine source code files, and hundreds of pieces of face image)