代码搜索：generalization

找到约 95 项符合「generalization」的源代码

代码结果 95
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/414357/11119087

m nnd11gn.m

function nnd11gn(cmd,arg1) %NND11GN Generalization demonstration. % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc.
·
www.eeworm.com/read/374010/9423782

m loo.m

function [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) % LOO % --- % Leave-one-out estimate of the average generalization error. % % The leave-one-out cross-validation scheme is a meth
·
www.eeworm.com/read/170249/9813441

m loo.m

function [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) % LOO % --- % Leave-one-out estimate of the average generalization error. % % The leave-one-out cross-validation scheme is a meth
·
www.eeworm.com/read/111672/6154072

m loo.m

function [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) % LOO % --- % Leave-one-out estimate of the average generalization error. % % The leave-one-out cross-validation scheme is a meth
·
www.eeworm.com/read/257015/4366718

m loo.m

function [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) % LOO % --- % Leave-one-out estimate of the average generalization error. % % The leave-one-out cross-validation scheme is a meth
·
www.eeworm.com/read/374010/9423691

m nnloo.m

function [Eloo] = nnloo(NetDef,W1,W2,U,Y,NN,trparms) % NNLOO % ----- % Leave-one-out estimate of the average generalization error for NNARX models. % % The leave-one-out cross-validation sch
·
www.eeworm.com/read/170249/9813379

m nnloo.m

function [Eloo] = nnloo(NetDef,W1,W2,U,Y,NN,trparms) % NNLOO % ----- % Leave-one-out estimate of the average generalization error for NNARX models. % % The leave-one-out cross-validation sch
·
www.eeworm.com/read/111672/6154038

m nnloo.m

function [Eloo] = nnloo(NetDef,W1,W2,U,Y,NN,trparms) % NNLOO % ----- % Leave-one-out estimate of the average generalization error for NNARX models. % % The leave-one-out cross-validation sch
·
www.eeworm.com/read/257015/4366743

m nnloo.m

function [Eloo] = nnloo(NetDef,W1,W2,U,Y,NN,trparms) % NNLOO % ----- % Leave-one-out estimate of the average generalization error for NNARX models. % % The leave-one-out cross-validation sch
·
www.eeworm.com/read/163924/10139943

m vgg_wedge.m

% vgg_wedge Wedge product of N-1 N-vectors (generalization of cross product). % % Y = vgg_wedge(X) Wedge product of columns/rows of X. % Y ... double (1,N). % X ... double (N,N-1). % It is
·