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Taguchi-genetic

  • Ants performing 3 actions: searching ore , mining ore , returning ore basic Artificial Neurological

    Ants performing 3 actions: searching ore , mining ore , returning ore basic Artificial Neurological Network working the learning proces to pick their state through Genetic Programming 人工智能中的蟻群算法

    標(biāo)簽： ore Neurological performing Artificial

    上傳時(shí)間： 2013-12-26

    上傳用戶：hongmo

  • 小波神經(jīng)網(wǎng)絡(luò)的源程序: 1.構(gòu)造的非線性函數(shù): 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內(nèi)部調(diào)用小波函數(shù)) 3.遺傳算法優(yōu)化后逼近 :GA_Wnn_tes

    小波神經(jīng)網(wǎng)絡(luò)的源程序: 1.構(gòu)造的非線性函數(shù): 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內(nèi)部調(diào)用小波函數(shù)) 3.遺傳算法優(yōu)化后逼近 :GA_Wnn_test.m (內(nèi)部調(diào)用遺傳算法的,初始化,適應(yīng)度,解碼函數(shù))-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)

    標(biāo)簽： nninit_test GA_Wnn_tes Wnn_test WNN

    上傳時(shí)間： 2016-09-17

    上傳用戶：LIKE

  • Tricks of the Windows Game Programmin Gurus, 2E takes the reader through Win32 programming, covering

    Tricks of the Windows Game Programmin Gurus, 2E takes the reader through Win32 programming, covering all the major components of DirectX including DirectDraw, DirectSound, DirectInput (including Force Feedback), and DirectMusic. Andre teaches the reader 2D graphics and rasterization techniques. Finally, Andre provides the most intense coverage of game algorithms, multithreaded programming, artificial intelligence (including fuzzy logic, neural nets, and genetic algorithms), and physics modeling you have ever seen in a game book.

    標(biāo)簽： programming Programmin the covering

    上傳時(shí)間： 2014-01-02

    上傳用戶：wangchong

  • *** *** *** *** *** *****/ /* 基于遺傳算法的人工生命模擬 AL_GA.C */ /* An Artificial Life Simulation model Base

    *** *** *** *** *** *****/ /* 基于遺傳算法的人工生命模擬 AL_GA.C */ /* An Artificial Life Simulation model Based on Genetic Algorithm */ /* 同濟(jì)大學(xué)計(jì)算機(jī)系 王小平 2000年5月

    標(biāo)簽： Artificial Simulation AL_GA model

    上傳時(shí)間： 2016-11-15

    上傳用戶：ls530720646

  • koza教授講義

    koza教授講義，關(guān)于genetic programming

    標(biāo)簽： koza 講義

    上傳時(shí)間： 2014-01-11

    上傳用戶：1051290259

  • The program uses fminsearch to obtain the transfer function of a tank’s height. This tank is then co

    The program uses fminsearch to obtain the transfer function of a tank’s height. This tank is then controlled using a real PID controller. Controller’s tuning (determination of optimum controller’s parameters: gain and time constants) is achieved using the genetic algorithm toolbox. Finally, result are plotted using both matlab commands as well as simulink.

    標(biāo)簽： tank fminsearch function transfer

    上傳時(shí)間： 2013-12-01

    上傳用戶：rocwangdp

  • 遺傳算法GA

    遺傳算法（Genetic Algorithm）是一類借鑒生物界的進(jìn)化規(guī)律（適者生存，優(yōu)勝劣汰遺傳機(jī)制）演化而來的隨機(jī)化搜索方法。它是由美國(guó)的J.Holland教授1975年首先提出，其主要特點(diǎn)是直接對(duì)結(jié)構(gòu)對(duì)象進(jìn)行操作，不存在求導(dǎo)和函數(shù)連續(xù)性的限定；具有內(nèi)在的隱并行性和更好的全局尋優(yōu)能力；采用概率化的尋優(yōu)方法，能自動(dòng)獲取和指導(dǎo)優(yōu)化的搜索空間，自適應(yīng)地調(diào)整搜索方向，不需要確定的規(guī)則。遺傳算法的這些性質(zhì)，已被人們廣泛地應(yīng)用于組合優(yōu)化、機(jī)器學(xué)習(xí)、信號(hào)處理、自適應(yīng)控制和人工生命等領(lǐng)域。它是現(xiàn)代有關(guān)智能計(jì)算中的關(guān)鍵技術(shù)。

    標(biāo)簽： 算法

    上傳時(shí)間： 2016-05-09

    上傳用戶：2017我們結(jié)婚吧

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