ARX

高斯迭代法求线性方程组，用于数值分析方面，(Gauss-Seidel)

Dandn文件给出了输入参数的名称及格式 即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Dandn file name given input parameters and format that is called prim before Input adjacency matrix D and node numbers n input prim are two lines of the matrix T, the number of up and down two lines can be connected to the corresponding node)

PCM simulink matlab example

matlab 详细说明书，学习matlab的好帮手，包括内容，常用函数，语音信号分析，进阶的绘图功能 频道滤波 等(Matlab detailed brochures, learning Matlab's helping hands, including the contents of commonly used functions, Voice Signal Analysis, advanced mapping functions such as channel filtering)

This piece of code can be used to import text file data of the signature samples, and pre-process them.

此源码是关于TS模糊神经网络的matlab源代码，已经运行过。(This source is on TS fuzzy neural network matlab source code, has been run over.)

说明：  研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。( study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control. )

针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限 进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对 目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制 定实际的跟踪策略或算法具有一定的参考价值 (For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value)

KNN用于模式分类的很好的例子，供大家学习，希望对大家有帮助(KNN classification for a good example for all to learn. . .)

说明：  Modeling and simulation of longwall scraper conveyor considering operational faults (1)