代码搜索：Simulated
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www.eeworm.com/read/124465/6047011
readme
/jayacard/proto/hal/simu/README
===============================================================================
/jayacard/proto/hal/simu is the place for the simulated *hardware abstract
layer* :
R
www.eeworm.com/read/103694/6212919
readme
/jayacard/proto/hal/simu/README
===============================================================================
/jayacard/proto/hal/simu is the place for the simulated *hardware abstract
layer* :
R
www.eeworm.com/read/456224/6278898
m call_sa.m
% Optimization Using MATLAB, Chapter 9
% Dr. P.Venkataraman
% Chapter: 9, Section 9.2
% Simulated Annealing
%
% An m-file for Calling the Simulated Annealing Program
%*************************
www.eeworm.com/read/214672/15092251
h disk.h
// disk.h
// Data structures to emulate a physical disk. A physical disk
// can accept (one at a time) requests to read/write a disk sector;
// when the request is satisfied, the CPU gets an interru
www.eeworm.com/read/290191/8498352
pdf an improved pso-based ann with simulated annealing technique.pdf
www.eeworm.com/read/385844/8786337
cc console.cc
// console.cc
// Routines to simulate a serial port to a console device.
// A console has input (a keyboard) and output (a display).
// These are each simulated by operations on UNIX files.
// The si
www.eeworm.com/read/181963/9223826
m ikeda.m
%function [x,y]=ikeda(n,mu,x0,y0)
%Syntax: [x,y]=ikeda(n,mu,x0,y0)
%_____________________________________
%
% Simulation of the Ikeda map.
% x'=1+mu*(xcos(t)-ysin(t)
% y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/364017/9925700
m main_ikeda.m
%function [x,y]=ikeda(n,mu,x0,y0)
%Syntax: [x,y]=ikeda(n,mu,x0,y0)
%_____________________________________
%
% Simulation of the Ikeda map.
% x'=1+mu*(xcos(t)-ysin(t)
% y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/168218/9931734
txt readme.txt
LIST OF ALL C++ PROGRAMS IN CHAPTER 3
All programs were originally developed and tested using
Borland C++ version 5.01 for Windows 95. The codes in this
directory have been altered as necess
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help annealing.help
annealing.cpp help file
Purpose: Demonstrate the use of
Simulated Annealing Neural Networks.
Using this network function:
[ 2 2 ]
[ -1 -1 ]
Find the function minima:
answer = [ 0 1 ]