代码搜索：MathWorks

找到约 4,523 项符合「MathWorks」的源代码

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m comleng.m

function y = comleng(y, x, str) % Make y has at least same length as x % Copyright (c) 1995-96 by The MathWorks, Inc. % $Revision: 1.1 $ $Date: 1996/04/01 17:53:12 $ comempty(y, s
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www.eeworm.com/read/424063/10503204

m helptest.m

% Copyright (c) 1996 by The MathWorks, Inc. % $Revision: 1.1 $ $Date: 1996/04/01 19:39:51 $ help ademod help ademodce help amod help amodce help apkconst help bchcore help
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www.eeworm.com/read/424063/10503662

m tsttrand.m

% Copyright (c) 1996 by The MathWorks, Inc. % $Revision: 1.1 $ $Date: 1996/04/01 19:50:27 $ T=[0:.1:100];T=T(:);U=rand(length(T),1)*2; num=10;den=[1,6,10]; [num1, den1]=c2dm(num,den
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www.eeworm.com/read/352274/10567350

m ceval.m

function ceval(call) %CEVAL Evaluate callback in its own workspace. % Copyright (c) 1984-94 by The MathWorks, Inc. eval(call);
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www.eeworm.com/read/351732/10614659

m isscalar.m

function ecode = isscalar(Vec) % ISSCALAR returns 1 for scalar inputs. % Copyright 1996-2001 The MathWorks, Inc. % $Revision: 1.3 $ $Date: 2001/04/05 04:47:25 $ if(ndims(Vec) == 2) if(
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www.eeworm.com/read/351732/10614665

m isvector.m

function ecode = isvector(Vec) % ISVECTOR returns 1 for vector inputs. % Copyright 1996-2001 The MathWorks, Inc. % $Revision: 1.3 $ $Date: 2001/04/05 04:47:26 $ if(ndims(Vec) == 2) if(
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www.eeworm.com/read/418695/10935642

m solvelin.m

function [w,b] = solvelin(p,t) %SOLVELIN Design linear network. % % [W,B] = SOLVELIN(P,T) % P - RxQ matrix of Q input vectors. % T - SxQ matrix of Q target vectors. % Returns: % W - SxR weight
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www.eeworm.com/read/418695/10935696

m normr.m

function n = normr(m) %NORMR Normalize rows of matrix. % % NORMR(M) % M - a matrix. % Returns a matrix the same size with each % row normalized to a vector length of 1. % % See also NORMC, PNORMC.
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www.eeworm.com/read/343753/6963588

m traintr.m

function [a,b,c,d,e,f,g,h] = traintr(i,j,k,l,m,n,o,p,q,r,s,t,u,v,x,y,z) %TRAINTR trains a feed-forward network with 2 or 3 hidden layers %using the Gauss-Newton method on a Tikhonov regularized proble
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www.eeworm.com/read/343753/6963589

m trainltr.m

function [a,b,c,d,e,f,g,h] = trainltr(i,j,k,l,m,n,o,p,q,r,s,t,u,v,x,y,z) % %TRAINLTR trains a large feed-forward network with 2 or 3 hidden layers %using a truncated Gauss-Newton method on a Tikhonov
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