代码搜索：patterns
找到约 8,017 项符合「patterns」的源代码
代码结果 8,017
www.eeworm.com/read/131296/14151633
asm tailc.asm
.file "tailC.asm"
;;
;; ATmega8 taillight circuit
;; Last edited: 14-7-2004
;; Purpose: An assembly language program that generates 5 different
;; static patterns with switching from pattern-to
www.eeworm.com/read/128193/14311435
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/128193/14311523
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/128193/14311528
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/227292/14433208
c exercise.c
/* Exercise an RS codec a specified number of times using random
* data and error patterns
*
* Copyright 2002 Phil Karn, KA9Q
* May be used under the terms of the GNU General Public License (GPL)
www.eeworm.com/read/227292/14433234
c rstest.c
/* Test the Reed-Solomon codecs
* for various block sizes and with random data and random error patterns
*
* Copyright 2002 Phil Karn, KA9Q
* May be used under the terms of the GNU General Public
www.eeworm.com/read/222301/14697762
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/222301/14697842
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/222301/14697849
m fwd.m
function y = fwd(net, x)
% FWD
%
% Compute the output of a dag-svm multi-class support vector classification
% network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, in
www.eeworm.com/read/205845/15305613
c exercise.c
/* Exercise an RS codec a specified number of times using random
* data and error patterns
*
* Copyright 2002 Phil Karn, KA9Q
* May be used under the terms of the GNU General Public License (GPL)