搜索资源列表
FunctionApproximation
- matlab平台上实现函数y=sinx的逼近程序，构造bp算法实现（输出层采用y=x线性函数，隐含层采用非对称Sigmoid函数）
BP_XOR
- 利用三层BP人工神经网络解决异或问题（XOR）用matlab编程实现，网络结构可以方便地调整-The use of three BP artificial neural network to solve XOR problem (XOR) using matlab programming, the network structure can be easily adjusted
BP
- BP算法解决函数y=cos( 2*PI* x )学习问题-BP algorithm to solve function y = cos (2* PI* x) learning problems
bp_v1_2
- -----引入动量的算法 建立一个3层（含输入层）的BP神经网络，并对其进行训练 输入层不进行数据处理，隐含层激活函数为sigmod函数，输出层为线性函数 输入输出数据归一化到[-1,1]，数据在矩阵中按行向量表示 即x=[x11,x12 x21,x22 ... xp1,xp2] y=[y1 y2 ... yp] p为样本数 -The introduction of the algorithm ----- momentum to build a three-layer (
BP
- 此程序实现了神经网络中的BP算法，使用MATLAB语言编写，对在平面坐标上的x,y变量在[-1，1]面积内进行象限归类。-This program implements the BP neural network algorithm, using the MATLAB language, on the plane coordinates of x, y variables in [-1,1] area classified within the quadrant.
BPsin(x)
- matlab上bp算法逼近SINx的程序实例-matlab bp
bp
- BP神经网络拟合y=x^2 使用matlab自带的工具箱-BP neural network fitting of y = x ^ 2
matlabbpexp1
- matlab的bp神经网络工具箱，bp神经网络案例之一，非线性拟合y=x21+x-one of a bp examples
bp_test1
- 函数sin(x)神经网络BP算法MATLAB仿真-Function sin (x) neural network BP algorithm MATLAB simulation
Spectral Projected Gradient for L1 minimization
- SPGL1 is a Matlab solver for large-scale one-norm regularized least squares.It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, 2. Basis pursuit (BP): min
spgl1-1.8
- 该算法可以有效解决BPDN，BP以及Lasso问题- SPGL1 is a Matlab solver for large-scale one-norm regularized least squares. It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to |
chap10
- 关于用遗传算法改进BP神经网络的matlab实现(转引) ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x(为看的方便，比较繁杂的也有) -About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & T