代码搜索:parameter

找到约 10,000 项符合「parameter」的源代码

代码结果 10,000
www.eeworm.com/read/431312/8689115

m fast_lot.m

%------------------------------------------------------------------------- % function subroutine: fast_lot.m, for fast LOT Algorithms,for M=8 % Input parameter: % vector a -----In this progr
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gms psatdata.gms

$onempty $kill Gh parameter Gh / 1.1 4.006346 2.1 -2.000000 4.1 -1.176471 5.1 -0.829876 1.2 -2.000000 2.2 9.328251 3.2 -0.769231 4.2 -4.000000 5.2 -1.000000 6.2 -1.559020 2.3 -0.769231 3.3 4.155722 5.
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v mux16.v

/**************************************************************************************** MODULE: Sub Level Multiplexer Block FILE NAME: mux16.v VERSION: 1.0 DATE: September 28th, 2001 A
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v control.v

/**************************************************************************************** MODULE: Sub Level Controller Block FILE NAME: control.v VERSION: 1.0 DATE: September 28th, 2001
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input-rb+bin

Number of Real and Binary Variables (nreal nbinary) Number of Objectives (2) Number of Constraints (2) Population size (100) Maximum generations (100) Crossover probability (0.9) Real-parameter mutati
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cpp npc_18.cpp

#include "StdAfx.h" #include "Dragon.h" #include "Path.h" #include "NetWork.h" #include "Hong_Sub.h" #include "CharDataTable.h" #include "NPC_Pattern.h" #include "Map.h" #include "lineComma
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c modbusslave.c

/***************************************************** Modbus Slave RTU / ASCII Terminal Software by Kevin ******************************************************/
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m findfeatlab.m

%FINDFEATLAB Determine indices of features having specific labels % % J = FINDFEATLAB(A,LABELS) % % J is a column vector of indices to the features that have the label % stored in LABELS. When a lab
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m neurc.m

%NEURC Automatic neural network classifier % % W = NEURC (A,UNITS) % % INPUT % A Dataset % UNITS Number of units % Default: 0.2 x size smallest class in A. % % OUTPUT % W T
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c param.c

/* $Header: /nw2/tony/src/stevie/src/RCS/param.c,v 1.10 89/08/02 10:59:10 tony Exp $ * * Code to handle user-settable parameters. This is all pretty much table- * driven. To add a new parameter,