代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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m gbayes.m

function [g, gdata, gprior] = gbayes(net, gdata) %GBAYES Evaluate gradient of Bayesian error function for network. % % Description % G = GBAYES(NET, GDATA) takes a network data structure NET toget
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m rbfgrad.m

function [g, gdata, gprior] = rbfgrad(net, x, t) %RBFGRAD Evaluate gradient of error function for RBF network. % % Description % G = RBFGRAD(NET, X, T) takes a network data structure NET together
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m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/465386/7054557

m lmfnlsqtest.m

% LMFnlsqtest.m Constrained Rosenbrock's valey %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % The script solves a testing problem of the Rosenbrock's function by % mini
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m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/458392/7297138

m gradlbfixed.m

function [grad] = gradlbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,pow); %GRADLBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADLBFIXED(SIGMA,INDSUP,ALPSUP,W0,C,X
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m gradlfixed.m

function [grad] = gradlfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,pow); %GRADLFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADLFIXED(SIGMA,INDSUP,ALPSUP,C,XAPP,YAPP,
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www.eeworm.com/read/455115/7377881

m canny.m

% CANNY - Canny edge detection % % Function to perform Canny edge detection. Code uses modifications as % suggested by Fleck (IEEE PAMI No. 3, Vol. 14. March 1992. pp 337-345) % % Usage: [gradient or]
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hpp cg.hpp

//============================= // Definition of the conjugate gradient class // Non-linear conjugate gradient algorithm // author: Wenceslau Gouveia // modified: H. Lydia Deng, 02/23/94, /03/14/94
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