搜索资源列表
SVM_RFE_GA_TOOLBOX
- 利用遗传基因算法对SVM-RFE算法进行优化，从而获取更优异的特征，提高检测率，该算法的SVMtrain利用matlab自带的函数-The use of genetic algorithms to optimize the SVM-RFE algorithm, in order to gain more excellent features, improve the detection rate of the algorithm using matlab comes SVMtrain funct
128267
- 通信网链路容量和流量联合优化分配问题的遗传算法matlab程序-Communication network link capacity and traffic joint optimization allocation problem of matlab genetic algorithm
mbqzsky
- 遗传算法车辆延误优化,这个是别人的程序,大家看看吧~,-Vehicle delay optimization genetic algorithm, this is someone else s program, we look at it ~,
GAPSO-share
- 粒子群优化和遗传算法混合编程, -GA and PSO mixed program
8805227
- 基于Matlab的函数优化遗传算法程序,包含了遗传算法实现的大部分步骤-Based on Matlab function optimization of genetic algorithm, contains most of the genetic algorithm implementation steps
OWVFF
- 如何利用遗传算法工具箱函数编写求解实际优化问题的MATLAB程序-How to make use of genetic algorithm toolbox function to solve the practical optimization problems of MATLAB programming
the shortest path program in graph theory
- 图论算法在计算机科学中扮演着很重要的角色，它提供了对很多问题都有效的一种简单而系统的建模方式。很多问题都可以转化为图论问题，然后用图论的基本算法加以解决。遗传算法是解优化问题的有效算法，而并行遗传算法是遗传算法研究中的一个重要方向，受到了研究人员的高度重视。(Graph theory plays an important role in computer science. It provides a simple and systematic modeling method for many p
PDKSVT2
- 基于Matlab的函数优化遗传算法程序,包含了遗传算法实现的大部分步骤(Based on Matlab function optimization of genetic algorithm, contains most of the genetic algorithm implementation steps)
toolbox
- 如何利用遗传算法工具箱函数编写求解实际优化问题的MATLAB程序(How to make use of genetic algorithm toolbox function to solve the practical optimization problems of MATLAB programming)
purent
- 遗传算法包括基本算法的程序及其在优化函数方面的应用(Genetic algorithm program including the basic algorithm and its application in optimization function)
dxng
- 遗传算法车辆延误优化,这个是别人的程序,大家看看吧~,(Vehicle delay optimization genetic algorithm, this is someone else's program, we look at it ~,)
efficiency-capatity
- 使用遗传算法对BP网络权值阈值进行优化,再用BP算法训练网络()
vnpqj
- 关于遗传算法对PID的优化,包括传递函数的离散化处理,最终得到所需PID()
3599422
- 一些关于遗传算法参数优化设计的文章,为参数优化设计提供指导,()
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)