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Tripleinvertedpendulumweightedfuzzyneuralnetworkco
- 为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to
sshape
- fuzzy contrast enhancement using sshape membership function
membership--values-calculating
- 可以对大部分因素的隶属值进行计算，并计算隶属值函数值-Most factors can be calculated membership values, and calculate the membership value of the function value
setReferee
- 获取会员信息，激活处理, 其中包括对输入数据的限制，激活数据的查询等，代码精简功能强大，能够批量处理会员注册信息，希望能够给各位以参考，-Obtain membership information, activation process, which includes restrictions on the input data, activation data query, streamlined code, powerful, able to batch processing members
Untitled
- 特征提取例3.3 以年龄为论域，取 。Zadeh给出了“年轻”的模糊集Y，其隶属函数为 -Example 3.3 Feature Extraction of age on the field, take. Zadeh gives the " young" fuzzy sets Y, its membership function
Kmeans
- 该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。-The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA tab
invertedPendulum
- inverted pundulum problem with matlab fuzzy toolbox. you can change the membership function type by chang the name of the fis file in the code.-inverted pundulum problem with matlab fuzzy toolbox. you can change the membership function type by ch
PFuzzy-Support-Vector-Machines
- describing FSVM.learns the decision surface two distinct classes of the input points.In many applications,each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and refor
qwe
- 采用模糊数学的方法对昆虫蜢进行分类的程序，通过定义隶属度函数及一些列相应计算，得到最终结果-The method of fuzzy mathematics is used to classify the insects, and the final result is obtained by defining membership function and some columns corresponding calculation.
FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor