代码搜索:sprintf

找到约 7,065 项符合「sprintf」的源代码

代码结果 7,065
www.eeworm.com/read/441332/7671731

asv ainet.asv

function [M,D] = inet(Ag,ts,n,N,gen,qi,tp) % % Ph.D. Thesis % Leandro Nunes de Castro % February, 2000 % Immune Network (iNet) - Description in iNet.doc % Obs.: for simplicity of comprehension
www.eeworm.com/read/441332/7671741

m abnet.m

function [w,win,cwin,D] = abnet(ag,eps,comp,alfa,beta,pc,pm), % % Ph.D. Thesis % Leandro Nunes de Castro % June, 1999 % Pattern Recognition in the Immune System using a Growing SOM % Bipolar S
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m ainet.m

function [M,D] = inet(Ag,ts,n,N,gen,qi,tp) % % Ph.D. Thesis % Leandro Nunes de Castro % February, 2000 % Immune Network (iNet) - Description in iNet.doc % Data normalization over [0,1] require
www.eeworm.com/read/441245/7672633

m plotgtm.m

%PLOTGTM Plot a trained GTM mapping in 1D, 2D or 3D % % H = PLOTGTM (W) % % INPUT % W Trained GTM mapping % % OUTPUT % H Graphics handles % % DESCRIPTION % Creates a plot of the
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m gtm.m

%GTM Fit a Generative Topographic Mapping using the % expectation-maximisation algorithm. % % [W,L] = GTM (A,K,M,MAPTYPE,REG,EPS,MAXITER) % % INPUT % A Dataset or double matrix % K
www.eeworm.com/read/441245/7673396

m plotdg.m

%PLOTDG Plot dendrogram % % PLOTDG(DENDROGRAM,K) % % INPUT % DENDROGRAM Dendrogram % K Number of clusters % % OUTPUT % % DESCRIPTION % Plots a dendrogram as generated by HCLUST. If th
www.eeworm.com/read/440896/7679068

m lowpass_iir_digital_filter.m

%Program to Design the IIR Lowpass Digital Filter According to the Given %Specifications % %Type in the passband edge frequency and the stopband edge frequency(Digital) wp=input('Passband edge fre
www.eeworm.com/read/440750/7682238

m sprintsi.m

function s=sprintsi(x,d,w) %SPRINTSI Print X with SI multiplier S=(X,D,W) % D is number of decimal places (+ve) or significant digits (-ve) [default=-3] % |W| is total width including multiplier %
www.eeworm.com/read/439490/7708021

c dskcopy.c

#include #include #include #include #include #include #include #define TRUE 1 #define FALSE 0 char *pSource; s
www.eeworm.com/read/439468/7708172

m mil_run.m

function run = MIL_Run(classifier) warning('off','MATLAB:colon:operandsNotRealScalar'); % clear global preprocess; global preprocess; global temp_train_file temp_test_file temp_output_file te