代码搜索:initial

找到约 10,000 项符合「initial」的源代码

代码结果 10,000
www.eeworm.com/read/169682/9846260

l lex-fct_pddl.l

%{ #include "ipp.h" #include "utilities.h" /* default yywrap function - always treat EOF as an EOF */ #define fct_pddlwrap() 1 %} a [Aa] b [Bb] c [Cc] d [Dd] e [Ee] f [Ff] g [Gg] h [Hh] i [I
www.eeworm.com/read/169682/9846287

l lex-ops_pddl.l

%{ #include "ipp.h" #include "utilities.h" /* default yywrap function - always treat EOF as an EOF */ #define ops_pddlwrap() 1 %} a [Aa] b [Bb] c [Cc] d [Dd] e [Ee] f [Ff] g [Gg] h [Hh] i [Ii] j
www.eeworm.com/read/365783/9847412

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/169505/9853859

c retarget.c

//*---------------------------------------------------------------------------- //* ATMEL Microcontroller Software Support - ROUSSET - //*-------------------------------------------------
www.eeworm.com/read/365237/9871301

c 18f_ad.c

//************************************************ //用18f6585写的5通道ad程序,2006-9-22调试通过 //************************************************ #include #include void Int_tmr0(void);
www.eeworm.com/read/168772/9897934

c retarget.c

//*---------------------------------------------------------------------------- //* ATMEL Microcontroller Software Support - ROUSSET - //*-------------------------------------------------
www.eeworm.com/read/167363/9971181

m tec_test_function.m

function f=TEC_test_function(x,fun,VRmin,VRmax,gbias,norm_flag,shift_flag) global orthm %best_f best_keep initial_flag [ps,D]=size(x); if norm_flag==1 x=VRmin(1,:)+(VRmax(1,:)-VRmin(1,:)).*x;
www.eeworm.com/read/362213/10012623

m recur.m

function y = recur(a,b,n,x,x0,y0); % % y = recur(a,b,n,x,x0,y0) % solves for y[n] from: % y[n] + a1*y[n-1] + a2*y[n-2]... + an*y[n-N] % = b0*x[n] + b1*x[n-1] + ... + bm*x[n-M] % % a, b, n,
www.eeworm.com/read/362008/10023870

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
www.eeworm.com/read/362008/10023894

m hmm_generate.m

function out = HMM_generate(a,b,initial,seq_len) % Generate a Markov sequence % % Inputs: % a - Transition probability matrix % b - Output generator matrix % initial - Initial state % seq