代码搜索：Modeling

找到约 1,801 项符合「Modeling」的源代码

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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
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www.eeworm.com/read/334076/12643206

m traininv.m

% TRAININV Train two ANFISs for inverse modeling of two-link robot arm. % The tranined ANFISs are used in the demo invkine.m. % J.-S. Roger Jang, 6-28-94. % Copyright (c) 1994-98 by The Ma
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www.eeworm.com/read/201218/15413219

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
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www.eeworm.com/read/291883/8390091

m finddt.m

function dtmax = finddt(epmin,mumin,dx,dz); % finddt.m % % This function finds the maximum time step that can be used in the 2-D % FDTD modeling codes TM_model2d.m and TE_model2d.m, such that they
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www.eeworm.com/read/291883/8390103

asv finddt.asv

function dtmax = finddt(epmin,mumin,dx,dz); % finddt.m % % This function finds the maximum time step that can be used in the 2-D % FDTD modeling codes TM_model2d.m and TE_model2d.m, such that they
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www.eeworm.com/read/389692/8508100

m exhsrch.m

function [input_index, elapsed_time] = ... exhsrch(in_n, trn_data, chk_data, input_name, mf_n, epoch_n) %EXHSRCH Exhaustive search for input selection in ANFIS modeling % EXHSRCH performs an exhau
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www.eeworm.com/read/389692/8508394

m seqsrch.m

function [input_index, elapsed_time] = ... seqsrch(in_n, trn_data, chk_data, input_name, mf_n, epoch_n) %SEQSRCH Sequential forward search for input selection in ANFIS modeling % SEQSRCH performs
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www.eeworm.com/read/388251/8622492

hpp geoidmodel.hpp

#pragma ident "$Id: GeoidModel.hpp 153 2006-09-26 18:02:11Z architest $" /** * @file GeoidModel.hpp * Abstract base class modeling a geoid */ #ifndef GPSTK_GEOIDMODEL_HPP #define GPSTK_GEOIDMOD
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www.eeworm.com/read/359005/10172197

m exhsrch.m

function [input_index, elapsed_time] = ... exhsrch(in_n, trn_data, chk_data, input_name, mf_n, epoch_n) %EXHSRCH Exhaustive search for input selection in ANFIS modeling % EXHSRCH performs an exhau
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www.eeworm.com/read/359005/10172288

m seqsrch.m

function [input_index, elapsed_time] = ... seqsrch(in_n, trn_data, chk_data, input_name, mf_n, epoch_n) %SEQSRCH Sequential forward search for input selection in ANFIS modeling % SEQSRCH performs
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