代码搜索：Models
找到约 5,847 项符合「Models」的源代码
代码结果 5,847
www.eeworm.com/read/427909/8913056
m fit_partitioned_model.m
function [model, partition_size] = fit_partitioned_model(...
inputs, outputs, selectors, sel_sizes, min_size, partition_names, fn_name, varargin)
%function [models, partition_sizes] = fit_partit
www.eeworm.com/read/179871/9332981
vhd memory.vhd
--
-- Simple RAM and ROM models
--
-- Written by Jiri Gaisler, ESA/ESTEC, 1996
--
library ieee;
use ieee.std_logic_1164.all;
use ieee.STD_LOGIC_ARITH.all;
use std.textio.all;
entity FLASHP
www.eeworm.com/read/375212/9368854
m plscv.m
function [press,cumpress,minlv,b,r,w,p,qlim,t2lim,tvar] = plscv(x,y,split,lv,np,mc)
%PLSCV Cross validation for PLS models
% Inputs are the matrix of predictor variables (x), matrix
% of predicte
www.eeworm.com/read/375212/9369160
m pcrcvrg.m
function [press,cumpress,minpc,b,p,qlim,t2lim,tvar] = pcrcvrg(x,y,split,itern,pc,np,mc,gui,action)
%PCRCVRG SDEP Cross validation for PCR models for use by MODLGUI
% Copyright
% Eigenvector Techn
www.eeworm.com/read/375212/9369171
m plscvg.m
function [press,cumpress,minlv,b,r,w,p,qlim,t2lim,tvar] = plscvg(x,y,split,lv,np,mc,gui,action)
%PLSCVG Cross validation for PLS models used with MODLGUI
% Copyright
% Eigenvector Technologies
%
www.eeworm.com/read/373627/9445984
html loglm1.html
R: Fit Log-Linear Models by Iterative Proportional Scaling – Internal function
www.eeworm.com/read/373249/9467867
m fit_partitioned_model.m
function [model, partition_size] = fit_partitioned_model(...
inputs, outputs, selectors, sel_sizes, min_size, partition_names, fn_name, varargin)
%function [models, partition_sizes] = fit_partit
www.eeworm.com/read/164422/10108747
m fit_partitioned_model.m
function [model, partition_size] = fit_partitioned_model(...
inputs, outputs, selectors, sel_sizes, min_size, partition_names, fn_name, varargin)
%function [models, partition_sizes] = fit_partitio
www.eeworm.com/read/424063/10499654
m drmodel.m
function [a,b,c,d]=drmodel(n,p,m)
%DRMODEL Generates random stable discrete nth order test models.
%
% [NUM,DEN]=DRMODEL(N) forms an Nth order SISO transfer function
% model.
%
% [NUM,DEN]=DRM
www.eeworm.com/read/424063/10499929
m rmodel.m
function [a,b,c,d]=rmodel(n,p,m)
%RMODEL Generates random stable continuous nth order test models.
%
% [NUM,DEN]=RMODEL(N) generates an Nth order SISO transfer function
% model.
% [NUM,DEN]=RMO