Description: It is all about project scheduling. GanttProject is a tool for creating a project schedule by means of Gantt chart and resource load chart.-It is all about project scheduling. GanttP roject is a tool for creating a project schedule by means of Gantt chart and resource load chart. Platform: |
Size: 10551296 |
Author:ben00659 |
Hits:
Description: 几种重要的聚类程序，如动态聚类，模糊聚类，以及一个遗传算法程序-clustering several important processes, such as dynamic clustering, fuzzy clustering, as well as a Genetic Algorithm Platform: |
Size: 6777856 |
Author: |
Hits:
Description: C语言精彩百例第93－100例
第四篇 综合应用篇
实例94 用C语言实现遗传算法
实例95 人工神经网络的C语言实现
实例96 K_均值算法
实例97 ISODATA算法
实例98 快速傅立叶变换
实例99 求解野人与传教士问题
实例100 简单专家系统
-C language section 93-100 100 cases of patients with excellent fourth example of the comprehensive application of articles 94 with C language example of genetic algorithm to achieve 95 artificial neural networks to achieve the C-means algorithm 96 K_ examples examples examples 97 ISODATA algorithm Fast Fourier Transform 98 99 examples of problem solving examples of missionaries Savage 100 with a simple expert system Platform: |
Size: 131072 |
Author:杨志亮 |
Hits:
Description: 聚类算法，数字和图形，包括了多种算法，聚类分析，模糊算法，遗传算法等，VC++的
很好的学习程序-Clustering algorithm, numbers and graphics, including a variety of algorithms, cluster analysis, fuzzy algorithm, genetic algorithm, etc., VC++ A good learning process Platform: |
Size: 7920640 |
Author:1111111 |
Hits:
Description: 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm. Platform: |
Size: 26624 |
Author:sally |
Hits:
Description: 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source Platform: |
Size: 4153344 |
Author:张帅 |
Hits:
Description: 遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:孙准 |
Hits:
Description: 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:zsy |
Hits:
Description: 基于遗传算法的K-means算法研究，有相关程序和算法说明。-Genetic Algorithm Based K-means algorithm, related program and algorithm description. Platform: |
Size: 3031040 |
Author:王三 |
Hits:
Description: 遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format Platform: |
Size: 5120 |
Author:李慧 |
Hits:
Description: 遗传算法具有全局搜索的功能，能够克服K-means算法的缺点。-Genetic algorithm global search function to overcome the shortcomings of K-means algorithm. Platform: |
Size: 38912 |
Author:聂风 |
Hits:
Description: 遗传算法优化B P神经网络的目的是通过遗传算法得到更好的网络初始权值和阈值, 其
基本思想就是用个体代表网络的初始权值和阈值、 个体值初始化的B P神经网络的预测误差作为该个体的适应度值, 通过选择、 交叉、 变异操作寻找最优个体, 即最优的B P神经网络初始权值。除了遗传算法之外, 还可以采用粒子群算法、 蚁群算法等优化B P神经网络初始权值。-Genetic algorithm to optimize BP neural network is designed by means of genetic algorithms get better network initial weights and thresholds, the basic idea is to use individual represents the network' s initial weights and thresholds, the individual values initialized BP neural network prediction error as the individual' s fitness value, through selection, crossover and mutation to find the optimal individual, ie the optimal BP neural network initial weights. In addition to genetic algorithms, you can also use particle swarm optimization, ant colony algorithm to optimize BP neural network initial weights. Platform: |
Size: 52224 |
Author:吴江 |
Hits:
Description: Real world problems often present multiple, frequently conflicting, objectives.
The research for optimal solutions of multi-objective problems
can be achieved through means of genetic algorithms, which are inspired
by the natural process of evolution: an initial population of solutions is
randomly generated, then pairs of solutions are selected and combined in
order to create new solutions slightly different the initial solutions.
The fittest solutions are kept in the population and are used to generate
new solutions-Real world problems often present multiple, frequently conflicting, objectives.
The research for optimal solutions of multi-objective problems
can be achieved through means of genetic algorithms, which are inspired
by the natural process of evolution: an initial population of solutions is
randomly generated, then pairs of solutions are selected and combined in
order to create new solutions slightly different the initial solutions.
The fittest solutions are kept in the population and are used to generate
new solutions Platform: |
Size: 702464 |
Author:amirfarzan |
Hits:
Description: 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm) Platform: |
Size: 2048 |
Author:smile_ljx
|
Hits:
Search - genetic algorithm means