regressionOptimization

用Jacobi叠待法解线性方程组 function Jacobi(A,b,n,x0,e,N)(Jacobi method to be stacked with solving linear equations function Jacobi (A, b, n, x0, e, N))

《MATLAB神经网络30个案例分析》中的第25个例子，案例25 广义神经网络的聚类算法-网络入侵聚类。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 25 example, 25 cases of generalized neural network clustering algorithm to network intrusion. Hope to have certain help to everybody!)

an advantage digital signal processing simulation focuses on Minimax algorithm

Lab13_MultArrays 多维数组的使用，实现数组定位(Use Lab13_MultArrays multidimensional arrays, array positioned to achieve)

说明：  高斯函数与fp之间进行高斯卷积，然后再反馈回来(Gauss convolution between Gauss function and FP, and then feedback back)

说明：  经典CFAR检测程序经典CFAR检测程序经典CFAR检测程序经典CFAR检测程序(CFAR CFAR detection procedures classic classic classic testing procedures classic CFAR CFAR detection program testing procedures)

mfilefo classification

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

最小拍无纹波控制列程，很实用的列子。matlab语言实验，对初学者很有用。(Deadbeat ripple-control bar away, very practical Liezi. matlab language experiments, useful for beginners.)

解耦，恢复原信号，有小波分析的盲信号处理，包含了阵列信号处理的常见算法，仿真图是速度、距离、幅度三维图像，利用自然梯度算法，最小均方误差（MMSE）的算法，多抽样率信号处理。(Decoupling, restore the original signal, There Wavelet Analysis Blind Signal Processing, Contains a common array signal processing algorithm, FIG simulation speed, distance, amplitude three-dimensional image, Use of natural gradient algorithm, Minimum mean square error (MMSE) algorithm, Multirate signal processing.)