代码搜索：Modeling
找到约 1,801 项符合「Modeling」的源代码
代码结果 1,801
www.eeworm.com/read/239550/13272757
m armals.m
function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% ARMA modeling using non-linear LS optimization
%
% Programmed by: Dimitris Manolakis
% Revi
www.eeworm.com/read/324303/13273790
m windowizenarx.m
function [wX, wY, xdim, ydim, n] = windowizeNARX(X,Y,x_delays,y_delays, steps)
% Re-arrange the data points into a block Hankel matrix for (N)ARX time-series modeling
%
% >> [Xw,Yw] = windowizeNARX(X
www.eeworm.com/read/318947/13465998
m windowizenarx.m
function [wX, wY, xdim, ydim, n] = windowizeNARX(X,Y,x_delays,y_delays, steps)
% Re-arrange the data points into a block Hankel matrix for (N)ARX time-series modeling
%
% >> [Xw,Yw] = windowizeNARX(X
www.eeworm.com/read/316944/13514031
m windowizenarx.m
function [wX, wY, xdim, ydim, n] = windowizeNARX(X,Y,x_delays,y_delays, steps)
% Re-arrange the data points into a block Hankel matrix for (N)ARX time-series modeling
%
% >> [Xw,Yw] = windowizeNARX(X
www.eeworm.com/read/349590/6291688
m armals.m
function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% ARMA modeling using non-linear LS optimization
%
% Programmed by: Dimitris Manolakis
% Revi
www.eeworm.com/read/158100/11643566
m armals.m
function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% ARMA modeling using non-linear LS optimization
%
% Programmed by: Dimitris Manolakis
% Revi
www.eeworm.com/read/155543/11864111
m armals.m
function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol)
% ARMA modeling using non-linear LS optimization
%
% Programmed by: Dimitris Manolakis
% Revi
www.eeworm.com/read/150749/12267233
m windowizenarx.m
function [wX, wY, xdim, ydim, n] = windowizeNARX(X,Y,x_delays,y_delays, steps)
% Re-arrange the data points into a block Hankel matrix for (N)ARX time-series modeling
%
% >> [Xw,Yw] = windowizeNARX(X
www.eeworm.com/read/150749/12267379
m windowizenarx.m
function [wX, wY, xdim, ydim, n] = windowizeNARX(X,Y,x_delays,y_delays, steps)
% Re-arrange the data points into a block Hankel matrix for (N)ARX time-series modeling
%
% >> [Xw,Yw] = windowizeNARX(X
www.eeworm.com/read/234465/14111775
mht chapter11 交换层次的模型 .mht
From:
Subject: Chapter 11 Switch-Level Modeling
Date: Sun, 15 Feb 2004 15:48:32 +0800
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Next