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: Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化-Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters Platform: |
Size: 2048 |
Author:卫东 |
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Description:
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an initial
％ network,
％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms)
％ trains the network with the Levenberg-Marquardt method.
％
％ The activation functions can be either linear or tanh. The
％ network architecture is defined by the matrix NetDef which
％ has two rows. The first row specifies the hidden layer and the
％ second row specifies the output layer.- Train a two layer neural network with the Levenberg-Marquardt method. If desired, it is possible to use regularization by weight decay. Also pruned (ie. not fully connected) networks can be trained. Given a set of corresponding input-output pairs and an initial network, [W1, W2, critvec, iteration, lambda] = marq (NetDef, W1, W2, PHI, Y, trparms) trains the network with the Levenberg-Marquardt method . The activation functions can be either linear or tanh. The network architecture is defined by the matrix NetDef which has two rows. The first row specifies the hidden layer and the second row specifies the output layer. Platform: |
Size: 3072 |
Author:张镇 |
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Description: a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm Platform: |
Size: 88064 |
Author:newbin |
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Description: A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand variables Platform: |
Size: 77824 |
Author:picab |
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Description: LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~
-Neural Network Prediction LmNet PF platform is based on the optimal neural network algorithm (Levenberg-Marquardt momentum of Law) predict the development of common tools platform. It is for users to predict the need for rapid construction of the universal application of neural network forecasting platform, it can solve, including sales forecasts, sales price forecasts, cost projections, the forecast market potential of new products, price forecasts for the areas of predictive analysis. Features include: new, modify the network model network training network simulation error analysis experts automatically generate sample data node configuration data normalization network settings such as initialization parameters. ~ .. ~ Platform: |
Size: 14720000 |
Author:fbia |
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Description: Levenberg-Marquardt 信赖域方法求解非线性方程组的Matlab程序-Levenberg-Marquardt trust region method for solving nonlinear equations of the Matlab program Platform: |
Size: 1024 |
Author:蔚无 |
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Description: 非线性最小二乘法，Levenberg-Marquardt算法，很详细的理论推导，讲解。对研究最小二乘法和Levenberg-Marquardt算法的同学有很大的帮助！-Nonlinear least squares method, Levenberg-Marquardt algorithm, a very detailed theoretical analysis to explain. The study of least squares and Levenberg-Marquardt algorithm is very helpful to the students! Platform: |
Size: 396288 |
Author:陈世界 |
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Description: 这里有个Levenberg-Marquardt算法的程序和ppt介绍-Here' s a Levenberg-Marquardt algorithm described procedures and ppt Platform: |
Size: 2695168 |
Author:王毅 |
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Search - Levenberg Marquardt