代码搜索:Tikhonov
找到约 22 项符合「Tikhonov」的源代码
代码结果 22
www.eeworm.com/read/161189/10439655
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,
www.eeworm.com/read/418911/10891973
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/338293/12314577
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/210916/15189945
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/355388/10271729
pdf tikhonov training of the cmac neural network.pdf
www.eeworm.com/read/343753/6963600
m ttr3.m
function [w1,b1,w2,b2,w3,b3,tr,rq] = ttr3(w1,b1,f1,w2,b2,f2,w3,b3,f3,...
xc,P,T,VA,VAT,TE,TET,TP)
%TTR3 Trains a feed-forward network with one hidden layer
%using the Gauss-Newton method on a Ti
www.eeworm.com/read/343753/6963601
m ttr2.m
function [w1,b1,w2,b2,tr,rq] = ttr2(w1,b1,f1,w2,b2,f2,...
xc,P,T,VA,VAT,TE,TET,TP)
%TTR2 Trains a feed-forward network with one hidden layer
%using the Gauss-Newton method on a Tikhonov regulari
www.eeworm.com/read/161189/10440065
m tikhcstr.m
function [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0)
%TIKHCSTR Tikhonov regularization with linear inequality constraints.
%
% [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0)
%
% Compute
www.eeworm.com/read/161189/10440068
m tikhcstr.m
function [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0)
%TIKHCSTR Tikhonov regularization with linear inequality constraints.
%
% [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0)
%
% Compute
www.eeworm.com/read/457216/1599700
m wcrobls.m
% Example 6.6: Comparison of worst-case robust, Tikhonov, and nominal least squares
% Section 6.4.2, Figure 6.16
% Boyd & Vandenberghe "Convex Optimization"
% Original by Lieven Vandenberghe
% Adapted