代码搜索:parameter

找到约 10,000 项符合「parameter」的源代码

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www.eeworm.com/read/401170/11563293

aspx usermain.aspx


www.eeworm.com/read/401170/11563306

aspx userbook.aspx


www.eeworm.com/read/401040/11565536

xml bookshop.xml

www.eeworm.com/read/401040/11565540

txt 数据库文件说明.txt

测试说明 1-3章: 1.建立数据库,打开查询分析器,运行Sql文件夹中的prodb.sql文件在数据库生成数据表. 2.在数据源(ODBC)中设置DSN名称为prodb. ====================================================================================================
www.eeworm.com/read/400584/11572401

m displayoptimizationhistory.m

function displayoptimizationhistory(varargin) %DISPLAYOPTIMIZATIONHISTORY Display optimization history. % DISPLAYOPTIMIZATIONHISTORY(PARAMDEFCELL, ALLMEM, ALLVAL) displays some % graphs visualiz
www.eeworm.com/read/400584/11572412

m demo1.m

function demo1 %DEMO1 Demo for usage of DIFFERENTIALEVOLUTION. % DEMO1 starts searching the minimum of Rosenbrock's saddle as a demo. % Modify this function for your first optimization. % % Markus
www.eeworm.com/read/400584/11572419

m demo2.m

function demo2 %DEMO2 Demo for usage of DIFFERENTIALEVOLUTION. % DEMO2 starts searching the minimum of Shekel's Foxholes as a demo. % Modify this function for your first optimization. % % Markus B
www.eeworm.com/read/400577/11572605

m ridger.m

%RIDGER Ridge Regression % % W = RIDGER(X,LAMBDA) % % INPUT % X Regression dataset % LAMBDA Regularization parameter (default LAMBDA=1) % % OUTPUT % W Ridge regression mappin
www.eeworm.com/read/400577/11572707

m ksmoothr.m

%KSMOOTHR Kernel smoother % % W = KSMOOTHR(X,H) % % INPUT % X Regression dataset % H Width parameter (default H=1) % % OUTPUT % W Kernel smoother mapping % % DESCRIPTION % Train a
www.eeworm.com/read/400577/11572955

m parzenml3.m

%PARZENML Optimum smoothing parameter in Parzen density estimation. % % H = PARZENML(A,FID) % % INPUT % A input dataset % FID File ID to write progress to (default [], see PRPROGRESS) % %