代码搜索:initial

找到约 10,000 项符合「initial」的源代码

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www.eeworm.com/read/180026/9322265

h errors.h

/***************************************************************************** FILE NAME: errors.h DESCRIPTION: Defines error code. Copyright (c) 2002, VIA Technologies, Inc. **
www.eeworm.com/read/374793/9384324

hif water.hif

Version 7.0 Build 33 02/05/2007 SJ Full Version 35 1941 OFF OFF OFF OFF ON FV_OFF Level2 0 0 VRSM_ON VHSM_ON 0 -- Start Partition -- -- End Partition -- -- Start Library Paths -- --
www.eeworm.com/read/374788/9384533

hif mux.hif

Version 7.0 Build 33 02/05/2007 SJ Full Version 35 1951 OFF OFF OFF OFF ON FV_OFF Level2 0 0 VRSM_ON VHSM_ON 0 -- Start Partition -- -- End Partition -- -- Start Library Paths -- --
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s startup.s

;/****************************************Copyright (c)************************************************** ;********************************************************************************************
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s startup.s

;/****************************************Copyright (c)************************************************** ;********************************************************************************************
www.eeworm.com/read/374161/9419412

lst main.lst

C51 COMPILER V8.08 MAIN 11/10/2008 22:44:43 PAGE 1 C51 COMPILER V8.08, COMPILATION OF MODULE MAIN OBJECT MODULE PLACED IN ma
www.eeworm.com/read/177981/9424483

m gobck.m

% % when finished initial viewing of data return to % the previous screen ..... close_btn=uicontrol(main,... 'Style','Push',... 'units','Pixels',... 'Position',[420 12
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m gobck.m

% % when finished initial viewing of data return to % the previous screen ..... close_btn=uicontrol(main,... 'Style','Push',... 'units','Pixels',... 'Position',[420 12
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c menu4.c

#include #include #include char *menu[] = { "a - add new record", "d - delete record", "q - quit", NULL, }; int getchoice(char *greet, char *choices[
www.eeworm.com/read/177129/9468853

m hmm_forward.m

function [Pout, Alpha] = HMM_Forward(a, b, initial_state, V) % Find the probability of a finite state in a Markov chain using the HMM forward algorithm % % Inputs: % a - Transition probabili