代码搜索：sequential
找到约 1,846 项符合「sequential」的源代码
代码结果 1,846
www.eeworm.com/read/384512/8866013
m som_seqtrain.m
function [sMap, sTrain] = som_seqtrain(sMap, D, varargin)
%SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Map.
%
% [sM,sT] = som_seqtrain(sM, D, [[argID,] value, ...])
%
% sM
www.eeworm.com/read/159921/10588276
m smoker.m
% SMOKER Sequential Minimal Optimization for SVM (L1).
% [Alpha,bias,nsv,trn_err,margin]=smoker(K,labels,C,eps,tol,Alpha,bias)
%
% SMOKER is the SMO which uses precomputed kernel matrix
% insted of
www.eeworm.com/read/421949/10676951
m smoker.m
% SMOKER Sequential Minimal Optimization for SVM (L1).
% [Alpha,bias,nsv,trn_err,margin]=smoker(K,labels,C,eps,tol,Alpha,bias)
%
% SMOKER is the SMO which uses precomputed kernel matrix
% insted of
www.eeworm.com/read/439412/7710173
v lfsr2_ver.v
//
// Module: SRL_16_TAP1
// Design: 16 bit LFSR using a single instantiated SRL16Es (sequential version)
// Verilog code:
//
// Simulation ModelSim EE v5.4c
//
// Description: Inferring SR
www.eeworm.com/read/198751/7912924
fse wbs_uart.fse
fsm_encoding {119501951} sequential
fsm_state_encoding {119501951} 00 {00}
fsm_state_encoding {119501951} 01 {01}
fsm_state_encoding {119501951} 10 {10}
fsm_registers {119501951} {wbstat
www.eeworm.com/read/397115/8066475
m som_seqtrain.m
function [sMap, sTrain] = som_seqtrain(sMap, D, varargin)
%SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Map.
%
% [sM,sT] = som_seqtrain(sM, D, [[argID,] value, ...])
%
% sM
www.eeworm.com/read/245849/12777681
m s_trace_numbers.m
function [index,ierr]=s_trace_numbers(seismic,varargin)
% Function outputs sequential trace numbers of seismic input traces based on
% header values
% See also: "s_select"
%
% Written by: E. R.: Apri
www.eeworm.com/read/331448/12827303
m som_seqtrain.m
function [sMap, sTrain] = som_seqtrain(sMap, D, varargin)
%SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Map.
%
% [sM,sT] = som_seqtrain(sM, D, [[argID,] value, ...])
%
% sM
www.eeworm.com/read/244790/12843575
m som_seqtrain.m
function [sMap, sTrain] = som_seqtrain(sMap, D, varargin)
%SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Map.
%
% [sM,sT] = som_seqtrain(sM, D, [[argID,] value, ...])
%
% sM