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Description: 用GA直接训练BP网络的权重算法
主程序：gafault.m 它包括以下子程序：
1. BP网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
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Size: 1403 |
Author: QAP |
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Description: ：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合
函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异
操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。
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Size: 117817 |
Author: icyrock |
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Description: hibernate方便的操作数据库相当不错的 请各位下载看看啊-pertains to facilitate the operation of the database is quite good to see please download ah
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Size: 198656 |
Author: zsq |
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Description: 用GA直接训练BP网络的权重算法
主程序：gafault.m 它包括以下子程序：
1. BP网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
-GA directly with BP network training algorithm the weights of the main program: gafault.m It includes the following subroutines: 1. BP network initialization: nninit.m-- given P, T, R, S1, S2 2. Adaptation value function: gabpEval.m 3. Genetic algorithm for BP network codec corresponding to the right value, the threshold function: gadecod.m
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Size: 1024 |
Author: QAP |
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Description: ：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合
函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异
操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。-: Matlab genetic algorithm (GA) U 4 ~-r-a box is based on the basic operation and termination conditions, binary and decimal conversion operation, such as a comprehensive function library. The realization of these steps include: input and output functions through the genetic algorithm to derive the main function, initial population generation function, the use of selection, crossover, mutation operation to achieve the basic function of genetic manipulation. Simulation in order to function as an example, the GA function optimization and improvement, just rewritten m the form of a document can function.
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Size: 117760 |
Author: icyrock |
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Description: 一、用GA直接训练BP网络的权重算法
主程序：gafault.m 它包括以下子程序：
1. BP网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
二、用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法
主程序：gabpfault.m 它包括以下子程序：
1. 网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
三、纯BP
主程序：（1）bpfault.m 在MATLAB5.2上
（2）bpfault.m 在MATLAB6.5上 为后来所加
-err
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Size: 35840 |
Author: 梅丽 |
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Description: 用遗传算法优化RBF网络参数,减小RBF网络在函数逼近中的误差-Using genetic algorithm to optimize parameters of RBF network, reducing the RBF Network in Function Approximation Error
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Size: 3072 |
Author: 史峰 |
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Description: MTSP 问题其实与单
旅行商问题(Traveling Salesperson Problem ,简称TSP) 相似,但是由于添加了任何城市只要被某一旅行商访问到即可这个附加条
件,因而增加了问题复杂度。在以前使用遗传算法(GA) 研究解决MTSP 问题时,通常采用标准的TSP 染色体和处理方法。-M any app licat ions are invo lved w ith mult ip le salesmen each of w hom visits a subgroup
cit ies and returns the same start ing city. The to tal length of all subtours is required to be m ini2
mum. Th is is calledM ult ip le T raveling Salesmen P roblem (M TSP). There are various heurist ic
methods to obtain op t imal o r near2op t imal so lut ions fo r the TSP p roblem. But to the M ult ip le
T raveling Salesmen P roblem , there are no t much app roaches to so lveM TSP. In th is paper, a hy2
brid genet ic algo rithm to so lve TSP and M TSP is p resented. Th is algo rithm combines GA and
heurist ics. N umerical experiments show that the new algo rithm is very efficient and effect ive.
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Size: 217088 |
Author: liqiubin |
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Description: dnf外挂源码 by moonyrobin-dnf game hook creaker by moonyrobin
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Size: 508928 |
Author: moony |
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Description: 直流电机智能数模混合PWM的研究及应用 - y yy y d df d fg yd f h yg fj s fa ga d fg r ga
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Size: 3610624 |
Author: 张晓 |
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Description: 将适合全局搜索的遗传算法(GA)和适合局部搜索的模拟退火算法(SA)相结合-Hybrid Genetic Algorithm and Simulated Annealing
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Size: 162816 |
Author: columbia |
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Description: 求解TSP和MTSP的混合遗传算法_英文_-Abstract:M any app licat ions are invo lved w ith mult ip le salesmen each of w hom visits a subgroup
cit ies and returns the same start ing city. The to tal length of all subtours is required to be m ini2
mum. Th is is calledM ult ip le T raveling Salesmen P roblem (M TSP). There are various heurist ic
methods to obtain op t imal o r near2op t imal so lut ions fo r the TSP p roblem. But to the M ult ip le
T raveling Salesmen P roblem , there are no t much app roaches to so lveM TSP. In th is paper, a hy2
brid genet ic algo rithm to so lve TSP and M TSP is p resented. Th is algo rithm combines GA and
heurist ics. N umerical experiments show that the new algo rithm is very efficient and effect ive.
Key words: TSP op t im izat ion genet ic algo rithm 2op t
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Size: 217088 |
Author: Notics |
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Description: 一、用GA直接训练BP网络的权重算法
主程序：gafault.m 它包括以下子程序：
1. BP网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
二、用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法
主程序：gabpfault.m 它包括以下子程序：
1. 网络初始化：nninit.m――给出P，T，R，S1，S2；
2. 适应值计算函数：gabpEval.m；
3．将遗传算法的编码解码为BP网络所对应的权值、阈值函数：gadecod.m；
三、纯BP
主程序：（1）bpfault.m 在MATLAB5.2上
（2）bpfault.m 在MATLAB6.5上 为后来所加
-First, the direct training of BP network with GA the weight algorithm
Main program: gafault.m It includes the following routines:
1. BP network initialization: nninit.m-- given P, T, R, S1, S2
2. Fitness calculation functions: gabpEval.m
3. Of genetic algorithms for the BP network codec corresponding weights, the threshold function: gadecod.m
Second, with the GA first aim at the weight of BP network, and then direct the training of pure BP mixture of BP algorithm GA-BP
Main program: gabpfault.m It includes the following routines:
1. Network initialization: nninit.m-- given P, T, R, S1, S2
2. Fitness calculation functions: gabpEval.m
3. Of genetic algorithms for the BP network codec corresponding weights, the threshold function: gadecod.m
3, pure BP
Main program: (1) bpfault.m on the MATLAB5.2
(2) bpfault.m the MATLAB6.5 for the subsequently added
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Size: 38912 |
Author: zhanghr |
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Description: １.利用GA算法优化RBFＮＮ的各种权值；
２.利用RBFNN进行函数跟踪；
3.比较测试未用GA优化的和使用GA优化的RBFNN的结果。-1.Use GA algorithm to optimize a variety of weights in RBFNN
2. Use RBFNN to realize
tracking function
3. Compare and test the results of using GA and not using GA.
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Size: 7168 |
Author: 天天 |
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Description: 工具类，boost,hah ha kla a a ga gfeaq rfd a ag ad g fggtqre -Tools for boost,very useful,hope it is help aa aa hgsfhg fag ag sg gsfg af aewr h j k h ld a r a f fa ga r a a hgah a gf gf ag dfsg afg aghfh rww s a a a a hggs
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Size: 8380416 |
Author: 棱枫 |
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Description: Simultaneous Design of Membership Functions and Rule Sets Using GA
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Size: 1095680 |
Author: dp |
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Description: C++振动理论，经典改进遗传算法的源代码，具有较强鲁棒性。-C + + vibration theory, the classical genetic algorithm source code, has strong robustness.r
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Size: 5120 |
Author: mweee |
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Description: 很好用的模式识别工具箱，最新版，其不少函数为数据描述工具箱调用，需要用前者的，也需要安装下这个- Copyright: R.P.W. Duin, r.p.w.duin@prtools.org
Faculty EWI, Delft University of Technology
P.O. Box 5031, 2600 GA Delft, The Netherlands
$Id: affine.m,v 1.10 2012/03/17 10:03:51 duin Exp $
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Size: 904192 |
Author: lu |
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Description: 提出了一种基于非下采样 Contourlet变换 ( NSCT)和马尔科夫随机场 (MRF)相结合的纹理图像分割算法。算法包括两
个步骤, 首先通过 NSCT实现对图像纹理特征的提取, 并使用模糊 C-均值完成对图像的初始分割 然后将初始分割结果用 MRF模型
表示, 通过贝叶斯置信传播得到图像的最终分割结果。实验结果表明, 对于纹理图像,该方法在分割错误率、 区域一致性以及边缘的
准确性方面都比传统小波变换的方法有了明显的改善。-A tex ture i m age seg m entation a l go rithm based on comb i nati on of non-down sa m pling Contourlet transfor m ( NSCT) andM arkov
rando m fi e l d model is proposed . The algorithm consists o f t wo steps . F ir st , the tex t u re f ea t ure of i m ag e is ex trac ted by NS CT, and the i m age
is seg m ented i n itia lly by fuzzy c- m eans Second , the pr i m aril y seg m ented results are expressed byMRF mode, l and the fi nal seg m entati on re-
s u lts are ga i ned v i a Bayes beli e f propag ati on . The exper i menta l resu lts show tha t this a l gor it hm is effecti ve fo r tex t ure i m age , it prov i desm uch
better res u lts i n erro r ra te o f segm enta tion , reg ion ho m ogene ity and edge accuracy than tho se of trad iti onal w ave let transf o r m ing m ethods
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Author: jjdjjf |
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Description: 由于遗传算法具有隐含的并行性和强大的全局搜索能力,可以在很短的时间内搜索到全局最优点。使用GA对SVM进行参数的优化,寻找最优的惩罚因子和SVM中RBF参数的组合。结合RBF参数r和惩罚因子C, 可以得到需要优化的参数组合。希望对大家有用！-Genetic algorithm with implicit parallelism and powerful global search capability, you can search within a very short period of time to the global optimum. GA parameter optimization of SVM, to find the optimal penalty factor and SVM RBF parameter combinations. Combination of the the RBF parameters of r and the penalty factor C, can be a combination of parameters that need to be optimized. I hope useful for all of us!
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Author: 张琪 |
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