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pso_Methods_for_Pattern_Recognition_and_Image_Proc
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equ
3
- * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Publ
chepaishibie4
- 提出一种用于车辆牌照定位的新方法。该方法利用遗传算法对图像进行优化搜索,结合区域特征矢量构造的适 应度函数,最终寻找到牌照区域的最佳定位参量。实验结果表明,该方法抗噪声的能力强,提取出的牌照准确、完 整,具有很好的实用价值。 -A vehicle license for new ways of positioning. This method is the use of genetic algorithm to optimi
pso
- 基于多线程机制的，利用Matlab编写，粒子群优化算法。目标变量采用归一化处理，适用于所有的优化函数。优化函数自定义为fitness(x)。-Based on multi-threading mechanism, the use of Matlab to prepare, particle swarm optimization algorithm. Target variables using normalized treatment
adaptsaps
- THIS SOFTWARE AND ANY ACCOMPANYING DOCUMENTATION IS RELEASED "AS IS." THE U.S. GOVERNMENT MAKES NO WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, CONCERNING THIS SOFTWARE AND ANY ACCOMPANYING DOCUMENTATION, INCLUDING, WITH
yichuansuanfa_lunwen2
- 基于遗传算法的智能组卷研究与应用 详细介绍了改进的动态分层遗传算法应用于组卷问题的解决步骤，涵盖了其中的各项关键技术 包括模拟试题库的建立、组卷策略、编码方案、适应度函数的确定、选择交叉变异算子、动态分层遗传算法的实现等。 -Based on Genetic Algorithm Research and Application of Intelligent Test Paper detailed the improved ge
microsoft_video_capture_source
- /*** *** *** *** *** *** ** * THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY * KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE * IMPLIED WARRANTIES OF MERCHANTABILITY A
BPnetware2
- 用遗传算法优化BP神经网络的Matlab编程适应值函数-Using genetic algorithms to optimize BP neural network fitness function Matlab programming
pso
- 个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。-Procedures is the most basic particle swarm optimization procedures, using Matlab realize, is very simple. Is the main
yichuansuanfa
- 电梯动力学参数写的简单遗传算法（程序带目标函数值、适应度值计算，但是我的适应度函数因为目标函数的计算很特殊，一起放在了程序外面计算,在此不提供）。-Elevator kinetic parameters to write a simple genetic algorithm (procedure with objective function value, fitness value, but my fitness function b
ga
- 遗传算法(Genetic Algorithm,GA)是一种抽象于生物进化过程的基于自然选择和生物遗传机制的优化技术. 遗传算法的基本原理 在遗传算法的执行过程中,每一代有许多不同的种群个体(染色体 )同时存在。这些染色体中哪个保留(生存)、哪个淘汰(死亡),是根据 它们对环境的适应能力来决定的,适应性强的有更多的机会保留下来 。适应性强弱是通过计算适应性函数f(x)的值来判别的,这个值称为适应值。适应值函数f(x)的构成
wishbone_out_port.tar
- This source file may be used and distributed without restriction provided that this copyright statement is not removed from the file and that any derivative work contains the original copyright notice and the associated
wnn
- 小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nni
wwwroot
- asp开发的电子商务网站，功能齐全，适全中小企业，适合初学者-asp development of e-commerce website, a full-featured, small and medium-sized full-fitness for beginners
ASP.net2
- asp.net学习源码，关于电子商务网站的，功能比较齐全，适全初学者-asp.net learning source on e-commerce website, feature relatively complete, the whole fitness beginners
gac++
- 基于Fisher适应函数的遗传算法来做图像分割-Fisher-based fitness function of genetic algorithm to do image segmentation
bootloader
- This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Publ
yichuansuanfa
- 这是一个将n个样本聚类到m个类别中 将n个样本在m个类里如何分配输出的遗传算法代码。 适应度：sum(i=1_110)sum(j=1_20)【xi-vj】~2-This is a cluster n samples to the m categories will be n samples in the m a class how to allocate the output of the genetic algorithm co
GA-VB
- 基于VB的遗传算法软件实现 在程序中,FitnessValue (i) 为适应度值数组、avFit2nessValue (100) 为归一化适应度值数组、Population2 Chrom(i ,j) 为遗传个体的等位基因值、Popsize 为种群中的个体数,CHROMLENGTH为一母体对的等位基因 总数。-VB-based genetic algorithm software implementation in the p
NMIT4.1_User_Guide_v1_0
- THE CONTENTS OF THIS DOCUMENT ARE PROVIDED "AS IS". EXCEPT AS REQUIRED BY APPLICABLE LAW, NO WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY