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[AI-NN-PRbp2

Description: 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
Platform: | Size: 3072 | Author: 李四 | Hits:

[AI-NN-PRBPgaijin

Description: 采用动量梯度下降算法训练BP网络,有需要的下哦~-using gradient descent algorithm BP training network, it is necessary to the next, oh ~
Platform: | Size: 3072 | Author: kongpin | Hits:

[Special EffectssobelEdgeDetection

Description: Sobel算子边缘增强算法,利用梯度下降原理边缘化图象-Sobel operator enhancement algorithms, using gradient descent principle marginalized image
Platform: | Size: 1024 | Author: 江边漫步 | Hits:

[AI-NN-PRminimize

Description: Conjugate Gradient Minimization在梯度下降算法中有着重要应用。可以解决一些一般方法不容易解决的问题-Conjugate Gradient Minimization in the gradient descent algorithm has important applications. General approach can solve some difficult problems
Platform: | Size: 3072 | Author: ZhangGeng | Hits:

[matlabrbf2

Description: 此源代码仍然是训练RBF网络的,但用的算法是梯度下降法,算法仍然是自己写的-This source code is still training RBF network, but the algorithm is gradient descent algorithm, the algorithm is still wrote it myself
Platform: | Size: 7168 | Author: 张媛 | Hits:

[AI-NN-PRBPwnn

Description: 讨论了BP 小波神经网络在训练过程中减小误差函数时最优方向的确定和自适应调整学习率的方法。 首先论证了小波神经网络的数学基础,然后讨论了BP 小波神经网络的学习过程,重点讨论了减小误差函数最优方 向的确定方法,即如何保证步长方向与负梯度方向一致,由此得出了自适应调整学习率的简便方法。该方法具有 普遍性,有广泛的应用价值。仿真结果表明,采用最优梯度下降方向可以大幅度提高BP 小波神经网络的学习速 度。-Discussed BP wavelet neural network in the training process of reducing the error function to determine the optimal direction and adaptive learning rate adjustment method. First of all, demonstrated that the wavelet neural network mathematical basis, and then discussed the BP wavelet neural network learning process focused on reducing the error function to determine the optimal direction of approach, namely how to ensure that the direction of step with the negative gradient direction, which may out the adaptive learning rate adjustment easy way. The method is universal, has a wide range of application value. Simulation results show that the optimal direction of gradient descent can dramatically improve BP wavelet neural network learning speed.
Platform: | Size: 245760 | Author: guole | Hits:

[matlabSteepest.Descent.Method.matlab

Description: matlab经典算法的程序 最速下降梯度法matlab程序-classical algorithm matlab procedure steepest descent gradient method matlab program
Platform: | Size: 1024 | Author: 温兆一 | Hits:

[AI-NN-PRSteepest

Description: 计算梯度下降法计算极值,只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
Platform: | Size: 1024 | Author: 宗丹 | Hits:

[Special Effectsnonrigid_version7b

Description: 非刚性图像配准算例,包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法,用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems
Platform: | Size: 245760 | Author: zhangji | Hits:

[matlabgddemo

Description: GDDEMO runs a little demonstration of gradient descent in Matlab. Launch Matlab, and type gddemo to get started.
Platform: | Size: 3072 | Author: Carlos Wilson | Hits:

[matlabmy_least_squares

Description: -least squares algorithms using gradient descent to find minimum of function - gaussian fit algorithm
Platform: | Size: 1024 | Author: mic | Hits:

[AI-NN-PRfminlbfgs_version2

Description: 这是一个快速的拟牛顿法程序,非常实用,非常强大-FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients. Supported: - Quasi Newton Broyden–Fletcher–Goldfarb–Shanno (BFGS). - Limited memory BFGS (L-BFGS). - Steepest Gradient Descent optimization.
Platform: | Size: 10240 | Author: 奕风 | Hits:

[Othermls

Description: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal). It is a stochastic gradient descent method in that the filter is only adapted based on the error at the current time
Platform: | Size: 719872 | Author: hopu chan | Hits:

[matlaboptimization

Description: Derivative-based Optimization using The Gradient Descent
Platform: | Size: 809984 | Author: ehsan | Hits:

[2D Graphicc.tar

Description: 总变分(TV) 图像复原模型的C语言源码. 使用C语言与Matlab 混合编程. 主要计算由C语言完成. 图像的读, 输出由Matlab实现. 包含梯度下降流法, Chambolle对偶法, 交替半二次型算法 固定点线性迭代算法等.-Total Variation (TV) image restoration model of C language source code. Using the C language and Matlab mixed programming. Mainly calculated by the C language completed. Image reading, the output from the Matlab implementation. Including gradient descent flow method, Chambolle dual methods, alternating semi- fixed-point algorithm for linear quadratic iterative algorithm and so on.
Platform: | Size: 19456 | Author: 陈云川 | Hits:

[matlabFuzzy_Finalmodify

Description: Nonlinear Dynamic System Identi fication : Design of Fuzzy Systems Using Gradient Descent Training
Platform: | Size: 1024 | Author: hamedvahedian | Hits:

[AI-NN-PRGradient-descent-of--regression

Description: 给定一组数据,用梯度下降法进行一元线性回归。包含数据和源程序。-Given a set of data, a linear regression using the gradient descent method. Contains the data and source code
Platform: | Size: 4096 | Author: 余风 | Hits:

[Otherdata-mining-gradient-descent

Description: 机器学习,数据挖掘,利用梯度下降的算法来实现。-Machine learning, data mining, using the gradient descent algorithm.
Platform: | Size: 1166336 | Author: jammy | Hits:

[Windows DevelopNesterov-accelerated-gradient-descent-master

Description: 加速梯度下降算法求函数最优值,用加速梯度下降算法,可以明显缩短优化时间(accelerated gradient descent algorithm)
Platform: | Size: 1024 | Author: 小逸 | Hits:

[matlabHPPP&distance matriix &gradient descent method

Description: 使用HPPP进行多小区、多用户撒点之后,计算任意用户到任意小区的距离,和梯度下降法寻找最优解(After using HPPP for multi cell and multi-user dissemination, the distance between any user and any cell is calculated;and the gradient descent method is used to find the optimal solution.)
Platform: | Size: 1024 | Author: See you later | Hits:
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