代码搜索:automatic

找到约 5,059 项符合「automatic」的源代码

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www.eeworm.com/read/150905/12249277

m neurc.m

%NEURC Automatic neural network classifier % % W = NEURC (A,UNITS) % % INPUT % A Dataset % UNITS Array indicating number of units in each hidden layer (default: [5]) % % OUTPUT % W Tra
www.eeworm.com/read/150758/12266446

readme

Two things are provided in this directory: an automatic model selection tool and a python binding for libsvm. Part I: Model Selection Tools Introduction =============== grid.py is a model selecti
www.eeworm.com/read/338276/12315148

h packoff.h

/*++ Copyright (c) 1990,91 Microsoft Corporation Module Name: packoff.h Abstract: This file turns packing of structures off. (That is, it enables automatic alignment of s
www.eeworm.com/read/149739/12353570

m neurc.m

%NEURC Automatic neural network classifier % % W = NEURC (A,UNITS) % % INPUT % A Dataset % UNITS Array indicating number of units in each hidden layer (default: [5]) % % OUTPUT % W Tra
www.eeworm.com/read/130548/14187225

readme

Two things are provided in this directory: an automatic model selection tool and a python binding for libsvm. Part I: Model Selection Tools Introduction =============== grid.py is a model selecti
www.eeworm.com/read/125950/14453786

readme

Two things are provided in this directory: an automatic model selection tool and a python binding for libsvm. Part I: Model Selection Tools Introduction =============== grid.py is a model selecti
www.eeworm.com/read/224579/14582569

am makefile.am

## Process this file with automake to produce Makefile.in. -*-Makefile-*- # To disable automatic dependency tracking if using other tools than # gcc and gmake, add the option 'no-dependencies' AUTOMA
www.eeworm.com/read/205922/15303860

h poppack.h

/*++ Copyright (c) Microsoft Corporation. All rights reserved. Module Name: poppack.h Abstract: This file turns packing of structures off. (That is, it enables automatic
www.eeworm.com/read/205721/15308949

m agc.m

function [dataout]=agc(datain,window,type) %[dataout]=agc(datain,window,type) % %This function will do automatic gain control with a running window equation %on the traces in datain. %The size of the
www.eeworm.com/read/205721/15309116

m agcmem.m

function [dataout]=agcmem(datain,window,type) %[dataout]=agcmem(datain,window,type) % %This function will do automatic gain control with a running window equation %on the traces in datain. %The size