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粒子群优化算法C
- 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function op
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- 基于遗传算法的动态模糊聚类 基于遗传算法的动态模糊聚类-dynamic fuzzy clustering based on genetic algorithm dynamic fuzzy clustering
new_ga
- 基于改进遗传算法的T_S型模糊控制器优化设计-based on improved genetic algorithms T_S fuzzy controller design optimization
jvleiprogramme
- 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
Sophisticated-Fuzzy-Logic-Controllers-Using-Genet
- Sophisticated Fuzzy Logic Controllers Using Genetic Algorithms
4[1]
- 提出了一种新的模糊遗传算法(GA)的方法来解决问题的轨迹规划两个合作共享一个公共的机器人避障工作场所,在机械手必须考虑对方作为一个移动的轨迹或者行为障碍是未知的和不可预知的,因为每一个都有各自的目标和机械手都有相同的优先权。 -This paper presents a novel fuzzy genetic algorithm (GA) approach to tackling the problem of trajectory planning of two collaborat
Genetic-optimization-of-C-clustering
- 运用遗传优化算法优化模糊C均值聚类，通过全局自适应寻优，寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
Genetic-algorithms-
- 本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又
SGA-FUZZY
- 采用改进遗传算法优化模糊控制隶属函数，实现隶属度自动寻优-Using improved genetic algorithm to optimize the fuzzy membership function, the membership degree of automatic optimization
New-Fuzzy-nNetwork-design-using-Genetic-Algorithm
- In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is
genetic-fuzzy-(ga_fuzzy)
- genetic fuzzy (ga_fuzzy) pid gain optimal
A-TSK-type-recurrent-fuzzy-network-and-Genetic-Al
- A document introducing the TSK-type recurrent fuzzy network with GA.
fuzzy-C--means-clustering-
- 遗传算法改进的C模糊聚类算法源程序.已运行成功，可以作适当修改。-Improved genetic algorithm fuzzy clustering algorithm C source. Has run successfully, you can make appropriate changes.
FuzzyGA
- fuzzy genetic algorithme
improved-fuzzy-c-means-clustering
- 该算法引入遗传算法对模糊c均值算法进行改进，并在iris数据集中进行实验验证，得到很高的正确率。-The algorithm genetic algorithm fuzzy c-means algorithm is improved, and focus on experiments in the iris data to obtain a high accuracy.
fuzzy-c
- 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 is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
Fuzzy-controller
- 运用分布补偿法和极点配置法设计模糊控制器，其中配置极点运用遗传算法优化-Using distributed compensation method and pole assignment method to design the fuzzy controller, using genetic algorithm to optimize configuration of pole
Fuzzy-GA
- this folder consists of some file that show the fuzzy logic control by genetic algorithm code source
cascade-fuzzy-controller
- 设计单级倒立摆的品级模糊控制器。运用串级模糊控制器控制单级倒立摆，内环模糊控制器控制角度，外环模糊控制器控制位移，运用种群遗传算法优化两个模糊控制器的参数。-Grade of single-stage inverted pendulum fuzzy controller is designed.Cascade fuzzy controller is used to control a single inverted pendulum, the inner ring control Angle o
Improved-genetic-algorithm
- Improved genetic algorithm, fuzzy mean clustering