代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
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www.eeworm.com/read/406594/11439412
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/259886/11759866
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% Copyright 1994-2002 PWS Publishing Company an
www.eeworm.com/read/152580/12100914
m tuningkerex7.m
%
% SVM Classification 2D examples
%
%
% Optimizing the kernel parameters by means of of gradient descent
% with regards to the leave one out error from R^2w^2.
%
% See O. Chapelle, V. Vapn
www.eeworm.com/read/152310/12122595
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/151851/12168698
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/151449/12210358
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/336314/12451508
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/130698/14177572
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/128468/14295639
m gganders.m
function [alpha,theta,solution,minr,t,maxerr]=...
gganders(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GGANDERS solves Generalized Anderson's task, generalized gradient.
% [alpha,theta,solution,minr,t,m
www.eeworm.com/read/122236/14712429
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================