搜索资源列表
A-hybrid
- 针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一 种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代 后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法 收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
L-BFGSPCODE
- 本程序是数值计算中FGS方法的改进型BFGS的代码，可以直接使用-This program is a modified BFGS method of numerical calculation FGS code can be used directly
3
- BFGS拟牛顿法求非线性无约束最优化（函数极值）问题-BFGS quasi-Newton method for solving nonlinear unconstrained optimization (function extremum) problem
BFGS
- 本代码为《最优化理论与方法》书籍中的牛顿法和拟牛顿法算法的代码，并举了2个书上的作业题的例子，本代码中的目标函数和约束等初值可由需要进行改变，来得到所期望的计算-The code for the " optimization theory and method" books in the Newton method and quasi-Newton method algorithm code, citing two books on the example of the job
BFGSTest
- 拟牛顿法BFGS； 非线性无约束最优化； C#编程-Quasi-Newton method BFGS nonlinear unconstrained optimization C# Programming
liblbfgs-1.9.tar
- 拟牛顿算法计算函数最小值，采用LBFGS算法，亲测可用。-a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal.
optimization
- many optimization methods(BFGS Method / Golden section search method / Hooke & Jeeves direct search method / Simplex method)
asfddaf
- BFGS算法本程序适用于求解形如f(x)=1/2*x Ax+bx+c二次函数的稳定点；-BFGS algorithm for solving This procedure applies to the form f (x) = 1/2* x Ax+ Bx+ C quadratic function of the stable point
bfgs4
- bfgs optimization method
BFGSyouhuasuanfa
- 精确线性搜索的BFGS算法求解下面无约束问题-Precise linear search algorithm for solving the following BFGS unconstrained problem
BP-neural
- LM算法和BFGS拟牛顿算法对BP神经网络的性能影响分析，我的课题作业，希望对大家有帮助。-The performance analysis basde on the impact on BP neural network of LM and BFGS quasi-Newton algorithm , the subject of my work, I hope to be helpful.
Dig_Filter
- Filter can be FIR or IIR. - Filter type can be lowpass, highpass, bandpass, or bandstop. - Direct methods or optimization ones can be used during the design procedure. In order to learn how you can use this toolbox, please copy all the codes
FM-BFGS
- 这是钱箱神经网络的一种极其少见的优化算法，非常实用，大家放心使用。-This is an extremely rare cashbox neural network optimization algorithm, is very practical, we ease of use.
lbfgs
- The code explains BFGS method
Second-order-smooth-algorithm
- Nonsmooth BFGS method
CSAMT-one-dimensional-inversion
- CSAMT一维反演程序，基于L-BFGS方法的水平电偶极一维反演-CSAMT one dimensional inversion procedure, based on L- BFGS method of horizontal electric dipole one dimensional inversion
no-line-equation-solve
- 非线性方程组的BFGS解法。该方法可有效求解非线性方程组，是目前公认的最好的拟牛顿方法-no-line equations solv
BFGS
- win32 sdk 编写的对话框程序模板，不懂的可以参考- win32 sdk program written dialog template, you can not understand the reference
bfgsopt
- BFGS法求多元函数的极小值，用迭代方式进行线性搜索。-The minimal value of multivariate function by BFGS method
minBFGS
- 用BFGS法求解多维函数的极值 function [x,minf]=minBFGS(f,x0,var,eps) 目标函数：f 初始点：x0 自变量向量：var 精度：eps 目标函数取最小值时的自变量值：x 目标函数的最小值：minf- By BFGS method for solving the multi-dimensional function of the extreme value function [x, minf] = minBFGS (