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simulated

模擬退火算法模擬退火算法(simulated Annealing,簡稱SA算法)是模擬加熱熔化的金屬的退火過程

模擬退火算法模擬退火算法(simulated Annealing,簡稱SA算法)是模擬加熱熔化的金屬的退火過程，來尋找全局最優解的有效方法之一。模擬退火的基本思想和步驟如下：設S＝{s1,s2,…,sn}為所有可能的狀態所構成的集合， f：S—R為非負代價函數，即優化問題抽象如下：尋找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）給定一較高初始溫度T，隨機產生初始狀態S （2）按一定方式，對當前狀態作隨機擾動，產生一個新的狀態S’ S’＝S＋sign(η).δ 其中δ為給定的步長， η為[－1,1]的隨機數

標簽： simulated Annealing 模擬退火算法模擬

上傳時間： 2014-01-02

上傳用戶：gengxiaochao
模擬退火（simulated Annealing）算法c++源程序

模擬退火（simulated Annealing）算法c++源程序

標簽： simulated Annealing 模擬退火算法

上傳時間： 2015-05-26

上傳用戶：lindor
模擬退火（simulated Annealing）算法c語言源程序

模擬退火（simulated Annealing）算法c語言源程序

標簽： simulated Annealing 模擬退火 c語言

上傳時間： 2015-05-26

上傳用戶：liansi
Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of S

Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of Swing, including JInternalFrame, JTabbedPane, JFileChooser, JEditorPane, and JRadioButtonMenuItem. Metalworks is optimized to work with the Java look and feel (codenamed "Metal") and shows use of several features, such as themes, that are specific to the Java look and feel.

標簽： Swing-based application Metalworks simulated

上傳時間： 2015-05-30

上傳用戶：lizhen9880
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL

標簽： This reversible annealing the

上傳時間： 2015-07-19

上傳用戶：ma1301115706
the program is based on LMS filter algorithm,and it has been simulated,the simulation environment is

the program is based on LMS filter algorithm,and it has been simulated,the simulation environment is matlab

標簽： environment simulation the algorithm

上傳時間： 2013-12-21

上傳用戶：zhenyushaw
matlab 模擬退火算法simulated anealing 的工具箱

matlab 模擬退火算法simulated anealing 的工具箱

標簽： simulated anealing matlab 模擬退火算法

上傳時間： 2014-01-07

上傳用戶：daguda
This m-file simulates MPSK (theoretical and simulated) with Gray coding This m-file simulates MPSK

This m-file simulates MPSK (theoretical and simulated) with Gray coding This m-file simulates MPSK (BPSK,QPSK,8PSK)with theoretical and simulated results using Gray coding. Numerical examples of a satellite link design are shown using QPSK and/or 8PSK when the bit rate(Rb)is greater than the channel bandwidth Wc (Band-limited channel).

標簽： simulates m-file This MPSK

上傳時間： 2014-01-11

上傳用戶：372825274
simulated Annealing for both Stochastic models and Deterministic models

simulated Annealing for both Stochastic models and Deterministic models

標簽： models Deterministic Stochastic simulated

上傳時間： 2013-12-18

上傳用戶：bruce5996
simulated annealing code ASA

simulated annealing code ASA

標簽： simulated annealing code ASA

上傳時間： 2015-10-18

上傳用戶：xlcky

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simulated

模擬退火算法模擬退火算法(simulated Annealing,簡稱SA算法)是模擬加熱熔化的金屬的退火過程

模擬退火（simulated Annealing）算法c++源程序

模擬退火（simulated Annealing）算法c語言源程序

Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of S

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This

the program is based on LMS filter algorithm,and it has been simulated,the simulation environment is

matlab 模擬退火算法simulated anealing 的工具箱

This m-file simulates MPSK (theoretical and simulated) with Gray coding This m-file simulates MPSK

simulated Annealing for both Stochastic models and Deterministic models

simulated annealing code ASA