GSitesH264_Elastic_Geometry

rfid室内定位相关。可以对误差分布进行仿真研究。生成分布图(rfid)

本程序是快速独立成分分析算法的主程序，包含了详细的注释，不含子程序。(This procedure is fast independent component analysis algorithm of the main program, including detailed notes, excluding subroutine.)

说明：  求解单自由度振动 可以直接输入参数计算 简单方便(It is simple and convenient to input parameters directly for solving single degree of freedom vibration)

经典的检测直线的算法,Matlab源码 用Matlab6.5实现(classic line detection algorithms, source code using Matlab achieve Matalab 6.5)

This is a code for admittance matrix formulation. Given that its inputs are bus, to bus, impedance, susceptance and tap transformer.

Here is the currrent controller in physical RL(resistance- inductance) circuit where you can control current in power system

It is a quiz game in which the user needs to give the right answer of the question asked by the game randomly out of four given options.

说明：  随机森林是一种有监督学习算法，是以决策树为基学习器的集成学习算法。随机森林非常简单，易于实现，计算开销也很小，但是它在分类和回归上表现出非常惊人的性能，因此，随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)

《基于MATLAB7.0统计信息处理》，对统计信息基本理论做了讲解，并结合实例讲解了统计信息库基本函数的使用。(" Based on MATLAB7.0 statistical information processing" , the basic theory of statistical information made to explain, and explain with examples the basic function of the statistical information base to use.)

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)