Description: matlab使用BP网络的例子,使用Levenberg Marquardt算法提高训练速度,效果不错-use Matlab BP example, the use of Levenberg Marquardt algorithm to improve training speed, good results Platform: |
Size: 4378 |
Author:汤泽世 |
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Description: 神经网络进行手写数字识别：
本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.
带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practical value. with a graphical interface Platform: |
Size: 132910 |
Author:HK |
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Description: 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值。随代码还提供帮助文件，非常方便。-BP algorithm Demonstration Program, which Levenberg-Marquardt algorithm has practical value. With the code also provides help files, a very convenient. Platform: |
Size: 333044 |
Author:林瑞伦 |
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Description: 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值。随代码还提供帮助文件，非常方便。-BP algorithm Demonstration Program, which Levenberg-Marquardt algorithm has practical value. With the code also provides help files, a very convenient. Platform: |
Size: 332800 |
Author:林瑞伦 |
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Description: L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space. Platform: |
Size: 1024 |
Author:辜小花 |
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Description: matlab使用BP网络的例子,使用Levenberg Marquardt算法提高训练速度,效果不错-use Matlab BP example, the use of Levenberg Marquardt algorithm to improve training speed, good results Platform: |
Size: 4096 |
Author:汤泽世 |
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Description: 神经网络进行手写数字识别：
本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.
带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practical value. with a graphical interface Platform: |
Size: 133120 |
Author:HK |
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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: |
Size: 19456 |
Author:刘慧 |
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Description: 使用Levenberg-Marquart算法（最小二乘法）对BP神经网络进行训练，克服了传统BP算法收敛慢，容易收敛于局部最小值等缺点-use Levenberg-Marquardt algorithm to overcome some disadvantages like slow convergence which traditional BP neural network usually has Platform: |
Size: 1024 |
Author:薛正 |
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Description: 神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value. Platform: |
Size: 343040 |
Author:zch |
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Description: BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm.
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time) Platform: |
Size: 20480 |
Author:郭乐 |
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Description: NNBP 1.0使用说明,NNBP是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值-NNBP 1.0 instructions, NNBP is BP algorithm demo program, the Levenberg-Marquardt algorithm which has practical value Platform: |
Size: 5120 |
Author:李志坚 |
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Description: 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-This program is BP algorithm demo program, in which the Levenberg-Marquardt algorithm has practical value. Platform: |
Size: 331776 |
Author:初光磊 |
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Description: BP神经网络算法用来拟合加噪信号，并以动量梯度下降算法和减少内存的Levenberg-Marquardt算法两种训练方法进行该实例下的性能对比-BP neural network algorithm used to fit the noise signal, and to reduce the momentum gradient algorithm and memory Levenberg-Marquardt algorithm two training methods to compare the performance of the example Platform: |
Size: 1024 |
Author:寻家军 |
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