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运用比例共轭梯度动量算法来训练 BP网络-Use proportion conjugate gradient algorithm to train the BP network
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用共轭梯度法求优化问题的C++源代码,经测试,该程序运行正常,得到了预期的结果。-Conjugate gradient method for the optimization of C++ source code, tested, the program works correctly to get the desired results.
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使用共轭梯度对BP神经网络算法进行优化,提高了神经网络的收敛速度-Conjugate Gradient
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基于matlab编写了SQP法,乘子法,共轭梯度法,拟牛顿法,信赖域法,最速下降法与牛顿法的最新程序,功能很强大,可供编程参考。-Based on the preparation of MATLAB SQP, multiplier method, conjugate gradient method, quasi-Newton method, trust region method, steepest descent method with the Newton-Raphson method th
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共轭梯度求解数值优化方法,本例题主要是对于一个常见的优化方法用MATLAB进行程序运行-Conjugate gradient method of solving numerical optimization, this example is mainly optimized for a common method using MATLAB running
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这是共轭梯度法程序,比较好的,对于做最优化课程设计有帮助-This is the conjugate gradient method program, better,For optimization design of course do help
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病态线性方程组的计算题,涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法,都编写一个m文件,封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行,画出误差曲线图,得到运行结果。总的Matlab程序流程,如下所示: 病态方程组的计算包括:HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括:
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共轭梯度法 求解线性方程组的子函数 可以编程直接调用 可验证其误差下降速度和收敛性-Conjugate gradient method is used to solve the linear equations son function can be directly call can be validated the programming error drop speed and convergence
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这是一个关于共轭梯度法的C程序,可以用于矩阵迭代-This is a Cprogram about Conjugate Gradient
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图像复原中的共轭梯度最小二乘法,是一种快速迭代方式。-The image restoration conjugate gradient least squares
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共轭梯度法求多元函数的极值,使用matlab程序即可解答-Conjugate gradient method for the extreme multi-function use matlab program to answer
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conjugate gradient for solving system of equations
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engineering optimization methods using newton method, quasi newton method, and conjugate gradient method
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该软件包CG +是为解决大规模,无约束,非线性优化问题的共轭梯度代码。企业管治+实现了共轭梯度法的三个不同版本:弗莱彻-里夫斯方法,波拉克Ribiere方法的,积极的波拉克-Ribiere方法的(聊天总是非负)-The package CG+ is a Conjugate Gradient code for solving large-scale, unconstrained, nonlinear optimization problems. CG+ implements three diffe
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包PREQN自动生成的预处理共轭梯度方法解决线性方程组的序列。-he package PREQN automatically generates preconditioners when solving a sequence of linear systems of equations by means of the conjugate gradient method.
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共轭梯度法的prp方法结合非单调法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum prp method combined with non-monotonic conjugate gradient method for solving multidimensional function must be written in the previous one for search function
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共轭梯度法的prp方法结合wolfe-powell法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum of Conjugate Gradient Method the prp method combined wolfe-powell method to solve the multi-dimensional function must be written in the previous one for search function
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共轭梯度法的FR方法结合wolfe-powell搜索,求解多维函数的极小值,在此前必须编写好一为搜索函数-FR method combined with the conjugate gradient method wolfe-powell search for solving multidimensional function minimum, must be written in the previous one for the search function
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共轭梯度法的FR方法结合黄金分割法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum value of the FR conjugate gradient method combined with golden section method to solve the multi-dimensional function must be written in the previous one for search function
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共轭梯度法prp结合wolfe-powell搜索求解函数的极值,在之前必须准备好相应的程序-Conjugate gradient method the prp combined wolfe-powell search for solving the extreme value of the function must be ready before the corresponding program
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