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: 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: 这个程序实现了Levenberg Marquardt Fletcher(LMF)算法，并用于非线性最小二乘的计算。用于在一个非线性多项式组成的矛盾/超定方程组中，找到最优的解。-This program implements the Levenberg Marquardt Fletcher (LMF) algorithm, and used nonlinear least squares calculations. Formed in a non-linear polynomial for the conflict/overdetermined equations, find the optimal solution. Platform: |
Size: 4096 |
Author:蒋常富 |
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Description: LM算法的MATLAB实现。Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。-LM algorithm in MATLAB. Levenberg-Marquardt algorithm is an optimization algorithm. Optimization is to find the minimum value makes the function parameter vector. Platform: |
Size: 3072 |
Author:听雪楼 |
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