代码搜索：generalized
找到约 2,645 项符合「generalized」的源代码
代码结果 2,645
www.eeworm.com/read/159921/10588522
m contents.m
% Generalized Anderson's task.
%
% andrdemo - Demonstrates algorithms which find solution of
% the Generalized Anderson's task (GAT).
%
% Algorithms:
% oanders - Original Ander
www.eeworm.com/read/421949/10677219
m contents.m
% Generalized Anderson's task.
%
% andrdemo - Demonstrates algorithms which find solution of
% the Generalized Anderson's task (GAT).
%
% Algorithms:
% oanders - Original Ander
www.eeworm.com/read/418911/10891913
m cgsvd.m
function [U,sm,X,V,W] = cgsvd(A,L)
%CGSVD Compact generalized SVD of a matrix pair in regularization problems.
%
% sm = cgsvd(A,L)
% [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
% [U,sm,X,V,W] = cgsvd(A
www.eeworm.com/read/416350/11031830
txt readme.txt
@ DPSO is based on the PSO version by Yuhui SHI.
@ Please see the OLD_README before reading this file!!!
/==================== Other Information =============================/
Dissipative PSO
www.eeworm.com/read/301544/6962356
m ggrnd.m
function r = ggrnd(m,a,b,n1,n2);
%GGRND Random matrices from generalized Gaussian distribution.
% R = GGRND(M,A,B) returns a matrix of random numbers chosen
% from the generalized Gaussian d
www.eeworm.com/read/469416/6976430
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets th
www.eeworm.com/read/469416/6976511
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. Th
www.eeworm.com/read/467252/7008254
m ggmle.m
function [ahat, bhat] = ggmle(x, options)
% GGMLE Parameter estimates for generalized Gaussian distributed data.
% GGMLE(X, OPTIONS) Returns the maximum likelihood estimates of the
% paramete
www.eeworm.com/read/449504/7502721
m gedrnd.m
function random = gedrnd(n,nu)
% PURPOSE:
% Generates Deviates from the Generalized Error Distribution
% This is the same as the Exponential Power Distn with the single exception
%
%
www.eeworm.com/read/446969/7562329
txt readme.txt
@ DPSO is based on the PSO version by Yuhui SHI.
@ Please see the OLD_README before reading this file!!!
/==================== Other Information =============================/
Dissipative PSO