gblSolve

XFEM matlab code can do a single crack in elastic analysis

说明：  基于lms算法的干扰自适应抵消LMS算法是基于最陡下降法的统计估计的最小均方值算法，令误差的均方值达到最小时的抽头系数的值即为最优解。LMS算法抽头系数w的变化方向为代价方程的负梯度方向。(Lms algorithm based on adaptive interference cancellation algorithm is the LMS steepest descent method based on statistical estimation of the least mean square algorithm, so that the mean square error to achieve the most hours of the tap coefficient value is the optimal solution. LMS algorithm for tap coefficient w, the cost equation changes in the direction of the negative gradient direction.)

说明：  matlab与 人工神经网络2007 配套源程序(matlab and artificial neural network supporting source, 2007)

系统化的MSK算法(MSK systematic algorithm)

in this mfile i have wrote the nrbf algorithm in matlab.

四旋翼飞行器嵌套饱和控制算法的matlab实现程序(quadrotor helicopter)

详细画出了时域和频域的相关图，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，各种资源分配算法实现。( Correlation diagram shown in detail the time domain and frequency domain, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Various resource allocation algorithm.)

说明：  几个matlab解常微分方程的例子：验证齐次方程有形如1/(xM+yN)的积分因子；全微分方程；求方程的显式解和绘图；解出x的隐方程的解法；方程的隐式解(Several examples of matlab Ordinary Differential Equations: Homogeneous Equation physical verification, such as 1/(xM+ yN) of the integral factor the whole equation the explicit solution of Equation and drawings solve the implicit equation x Solution equation the implicit solution)

是希尔伯特黄变换的matlab程序，很有用，尤其对于初学者，有问题可以和我联系，呵呵(it is for easy for the beginner)

近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。(The process of BP model in near infrared spectrum analysis, including the original BP neural network model on the basis of their programming joined the nir model validation coefficient calculation, such as R- SquareC. R- SquareP, RMSEC, RMSEP, RSD, etc. And join the loop statement, set interval program can be run automatically and determine the best hidden layer nodes, the optimal learning rate, momentum factor, the number of training, etc. )