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说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

Comparison of Nonlinear and Linearized Single Pendulum with ode differences in s-t and period evaluate the linearization(Comparison of Nonlinear and Linearized Single Pendulum with ode differences in s-t and period)

程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 (good)

用matlab实现了3次样条，拉格朗日。辛普生、梯形等数值分析里面的重要内容。代码可用性强，可以直接调用。另外还有实验报告，非常详细的报告。(A 3 times with matlab spline, Lagrange. Simpson, trapezoidal numerical analysis and other important content inside. Code availability strong, can be called directly. There is also experimental report, very detailed report.)

基于微粒群模型的无线传感器网络节点部署研究(Research on the deployment of wireless sensor network node based on particle swarm optimization model)

this will help u in the simulation of missle functions

光纤Bragg光栅的基模（LP01）的有效折射率和谐振波长的计算测试程序，欢迎拍砖

this document contains a few matlab file concerning artificiel intelligence.

分别建立命令文件和函数文件 转换想x，y的值 求一元二次方程的根(The establishment of a command file and function file Conversion to x, y values Seeking the root of one dollar a quadratic equation)

说明：  加循环前后缀和升采样程序，插入循环前后缀是将每个OFDM符号的前32个数据放到符号尾部，将每个OFDM符号的后32个数据放到符号头部，升采样是通过中间插零的方式实现(Cycle before adding the suffix and lift sampling program, insert the loop before the suffix is ??the first of each OFDM symbol data into the symbolic end of 32, after each OFDM symbol data into the symbols of 32 head or through the middle of the sampling way to achieve zero insertion)