代码搜索:gradient

找到约 2,951 项符合「gradient」的源代码

代码结果 2,951
www.eeworm.com/read/362246/10010191

m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
www.eeworm.com/read/280595/10312006

m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
www.eeworm.com/read/425546/10349067

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET
www.eeworm.com/read/469416/6976398

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET
www.eeworm.com/read/455033/7378622

todo

add the sup of a function on a mesh real uinfty=sup(Th,abs(f)); real uhinfty=sup(uh); Newton algorithm. Non Linear Conjugued Gradient. automatique scheme for time depend problem: dt(u) or u_t imp
www.eeworm.com/read/299459/7850547

m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
www.eeworm.com/read/296079/8124334

h klineobject.h

#pragma once #include "atltypes.h" #include "2dklinegraph.h" #define GT_2DKLINE 0 #define GB_SOLID 10 #define GB_GRADIENT 11 // CKLineObject class CKLineObject : public CWnd { DEC
www.eeworm.com/read/143706/12849730

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
www.eeworm.com/read/140851/13059073

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET
www.eeworm.com/read/241707/13124869

css bluestyle.css

BODY { background-color:#ff0000; overflow-x:hidden; filter : progid:DXImageTransform.Microsoft.Gradient (enabled=bEnabled,startColorStr=#7AA1E6,endColorStr=#6375d6); } .MenuItemLabel,.MenuIte