Description: 我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct. Platform: |
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Author:FX |
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Description: 反向传播(back－propagation,BP)算法是一种计算单个权值变化引起网络性能变化值的较为简单的方法。由于BP算法过程包含从输出节点开始，反向地向第一隐含层(即最接近输入层的隐含层)传播由总误差引起的权值修正，所以称为"反向传播"。-BP (back-propagation BP) algorithm is a calculation of the weights of individual changes in network performance changes in the value of a relatively simple approach. Due process includes BP algorithm from the output nodes, the reverse to the first hidden layer (input layer that is closest to the hidden layer) transmission errors caused by the total value of the right to amend, known as the "back-propagation." Platform: |
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Author:李鹏 |
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Description: 这是cmu大学的一个研究小组编写的神经网络中反向传播算法的源代码，很有参考价值。-This is a university research group to prepare the neural network back-propagation algorithm source code of great reference value. Platform: |
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Author:冯贵玉 |
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Description: 开发环境:C语言
简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。
-development environments : C language Brief Description : BackProp algorithm : BP is the back-propagation network (Back Propagation) network. It is a multi-layer networks, all using the smallest variance learning. This is one of the most widely used network. It can be used language integrated, identification and adaptive control purposes. BP teachers need training. Platform: |
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Author:刘华 |
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Description: 误差反向传播网络(Back propagation network,简称BP网络)是神经网络中最活跃的方法，且绝大多数采用了三层结构(输入层、一个隐含层和输出层).BP网络是一种非线性映射人工神经网络.本程序用vb实现的bp算法-error back-propagation network (Back propagation network, called BP) neural network is the most active, but the majority adopted a three-tier structure (input layer, a hidden layer and output layer). BP network is a non-linear mapping of artificial neural networks. The procedures used vb the algorithm to achieve bp Platform: |
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Author:fuyu |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network. Platform: |
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Author:刘慧 |
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Description: 這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分-This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition lines Platform: |
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Author:flower |
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Description: （C#实现）反向传播网络BPN：输入简单的训练样本训练各层的权值-(C# implementation) back-propagation network BPN: Enter the simple training of the training samples weights of each layer Platform: |
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Author:陈宪法 |
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Description: 采用最常用的神经网络算法BP算法，即反向传播算法，程序涉及到梯度下降法、函数求逆及偏导数的实现数学问题-The most commonly used BP algorithm of neural network algorithm, which back propagation algorithm, the program involves gradient descent, the inverse function and the partial derivative of mathematical problems Platform: |
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Author:xiaohu |
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Description: 反向传播网络(Back-Propagation Network，简称BP网络)是将W-H学习规则一般化，对非线性可微分函数进行权值训练的多层网络
-Back Propagation Network (Back-Propagation Network, referred to as BP networks) is to learn the rules WH generalized, non-linear differentiable function on weight training multi-layer network Platform: |
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Author:王洁 |
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