代码搜索:NetWork

找到约 10,000 项符合「NetWork」的源代码

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www.eeworm.com/read/181388/9256709

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a dag-svm multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
www.eeworm.com/read/180383/9310620

cpp distinctrepresentatives.cpp

#include #include #include #include #include #include #include #include #include using namespace std;
www.eeworm.com/read/180274/9313918

cpp nnet.cpp

/* $Id: nnet.cpp 1907 2004-12-11 00:51:14Z ling $ */ #include #include #include #include #include int main (unsigned i
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htm ch3gla.htm

WEEK 3 -- At a Glance
www.eeworm.com/read/180085/9320096

plg serialcomm.plg

Build Log --------------------Configuration: SerialComm - Win32 Debug-------------------- Command Lines Creating temporary file "C:\DOCUME~1\AD
www.eeworm.com/read/376028/9337845

htm 3.4.htm

www.eeworm.com/read/376028/9337849

htm 3.3.htm

www.eeworm.com/read/179705/9341721

changelog

2006-03-26 Brian Gough * multinomial.c (gsl_ran_multinomial_lnpdf): use gsl_sf_lnfact instead of gsl_sf_lngamma for an integer argument 2006-03-17 Brian Gough
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support

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