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Description: 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）
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Size: 785 |
Author: 黄泉 |
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Description: 用vc＋＋实现的BP神经网络解决异或问题的源代码。非常经典。-Using vc realize the BP neural network to solve XOR problem
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Size: 88064 |
Author: wxr |
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Description: 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）-matlab platform function y = sinx approximation procedures, construction bp algorithm (output layer using linear function y = x, hidden layer use of non-symmetrical Sigmoid function)
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Size: 1024 |
Author: 黄泉 |
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Description: BP算法
给定一个由N维向量X组成的集合，这些向量将是一个响应agent的感知处理单元计算出的特征向量。这些分量的值可以是数值，也可以是布尔值。这些动作也许是学习者所观察到的一个教师对一组输入的响应。这些相关的动作有时称为向量的“标号”或“类别”。集合与响应的标号组成“训练集合(training set)”.机器学习问题就是寻找一个函数。-BP algorithm given by the N-dimensional vector X composed of a collection, these vectors will be a response to the perceived agent processing unit eigenvector calculated. These components can be numerical values may also be a boolean value. These movements may be observed by the learner, a teacher of a group of input response. These related actions are sometimes referred to as Vector s labeling or category. Collection with the label in response to form a training set (training set) . Machine learning problem is to find a function.
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Size: 1024 |
Author: 张志丹 |
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Description: 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
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Size: 1024 |
Author: yaozi |
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Description: 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
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Size: 26624 |
Author: 孙胖 |
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Description: -----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 (including input layer) of the BP neural network, and its training of the input layer does not carry out data processing, the hidden layer activation function sigmod function, the output layer-line Sexual Function input and output data normalized to [-1,1], the data in the matrix row-vector representation or x = [x11, x12 x21, x22 ... xp1, xp2] y = [y1 y2 ... yp] p as the number of samples
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Size: 4096 |
Author: 沈龙 |
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Description: 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.
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Size: 1024 |
Author: lingyun |
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Description: matlab上bp算法逼近SINx的程序实例-matlab bp
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Size: 4096 |
Author: dalangwa |
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Description: 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
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Size: 1024 |
Author: 魏子昂 |
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Description: 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
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Size: 48128 |
Author: 李义宏 |
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Description: 函数sin(x)神经网络BP算法MATLAB仿真-Function sin (x) neural network BP algorithm MATLAB simulation
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Size: 1024 |
Author: yue |
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Description: 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 ||Ax- b||_2 <= sigma,
2. Basis pursuit (BP):
minimize ||x||_1 subject to Ax = b
3. Lasso:
minimize ||Ax- b||_2 subject to ||x||_1 <= tau,
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Size: 61440 |
Author: kaka |
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Description: 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 & Threshold Program. Optimization of the basic principles and procedures can be found in many papers, this does not have to go into details, I' ll stick with gaot5 small program below it, is y = 1/x (for watching convenience, there are also more complicated)
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Size: 15360 |
Author: 张晓 |
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