代码搜索：based
找到约 10,000 项符合「based」的源代码
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www.eeworm.com/read/171622/9744690
cpp relearningscheme.cpp
/* XCSR_DE1.0
* --------------------------------------------------------
* Learning classifier system based on accuracy in dynamic environments
*
* by Huong Hai (Helen) Dam
* z3140959@itee.adfa.
www.eeworm.com/read/171622/9744692
h declare.h
/* XCSR_DE1.0
* --------------------------------------------------------
* Learning classifier system based on accuracy in dynamic environments
*
* by Huong Hai (Helen) Dam
* z3140959@itee.adfa.
www.eeworm.com/read/171622/9744695
cpp population.cpp
/* XCSR_DE1.0
* --------------------------------------------------------
* Learning classifier system based on accuracy in dynamic environments
*
* by Huong Hai (Helen) Dam
* z3140959@itee.adfa.
www.eeworm.com/read/171622/9744697
cpp xcsr.cpp
/* XCSR_DE1.0
* --------------------------------------------------------
* Learning classifier system based on accuracy in dynamic environments
*
* by Huong Hai (Helen) Dam
* z3140959@itee.adfa.
www.eeworm.com/read/367493/9745241
m unifmutation.m
function [parent] = uniformMutate(parent,bounds,Ops)
% Uniform mutation changes one of the parameters of the parent
% based on a uniform probability distribution.
%
% function [newSol] = multiNonUnifM
www.eeworm.com/read/366806/9798329
java listing3.7.java
/**
* This method computes the payment for a loan based on
* the interest rate, the number of payment periods, and
* the loan amount.
*
* @param rate The interest rate per payment per
www.eeworm.com/read/270032/11050291
c window.c
/***************************************************************************
** TEST FILE FOR graph (Dynamic Layout Alg)
**
** MODUL: C++ X-WINDOW class library based on Xlib
**
** Author: dr. S
www.eeworm.com/read/415052/11085258
c emd.c
/*
emd.c
Last update: 3/14/98
An implementation of the Earth Movers Distance.
Based of the solution for the Transportation problem as described in
"Introduction to Mathema
www.eeworm.com/read/269572/11092168
m unifmutation.m
function [parent] = uniformMutate(parent,bounds,Ops)
% Uniform mutation changes one of the parameters of the parent
% based on a uniform probability distribution.
%
% function [newSol] = multiNonUnifM