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ut541 Downloaded：1: There are detailed notes, Raya Punuo Fu index using the formula, Isodata iterative self-organizing data analysis.
Update : 2025-03-04 Size : 6kb Publisher : ykgcfhj
4842264ga_improve_fcm Downloaded：0: The genetic algorithm is mainly the function of three operators, and the clustering is very bad to the initial center and the class number of the Division
Update : 2025-03-04 Size : 4kb Publisher : ggsdduman
99768411ChooseInitialCentres Downloaded：0: Fuzzy C mean initial clustering center selection, for beginners reference
Update : 2025-03-04 Size : 54kb Publisher : ggsdduman
691698626subclustinializingfcm Downloaded：0: subclutering initializing fcm:
Update : 2025-03-04 Size : 2kb Publisher : ggsdduman
45880713Exterme_k_means Downloaded：0: Extreme K-means is put forward by yuboYuan, given the initial clustering center, and the clustering is fast.
Update : 2025-03-04 Size : 1kb Publisher : ggsdduman
99273863K-means-clustering-algorithm Downloaded：0: K- means clustering algorithm. The number of initial cluster centers and its coordinates can be freely entered.
Update : 2025-03-04 Size : 1kb Publisher : ggsdduman
BP神经网络的数据分类-语音特征信号分类 Downloaded：1: BP neural networks for data classification -- speech feature signal classification
Update : 2025-03-04 Size : 367kb Publisher : 青鱼
BP神经网络的非线性系统建模-非线性函数拟合 Downloaded：0: Nonlinear system modeling of BP neural networks nonlinear function fitting
Update : 2025-03-04 Size : 47kb Publisher : 青鱼
遗传算法优化BP神经网络-非线性函数拟合 Downloaded：0: Genetic algorithm optimization BP neural network nonlinear function fitting
Update : 2025-03-04 Size : 51kb Publisher : 青鱼
Elman神经网络的数据预测—电力负荷预测模型研究 Downloaded：2: Data forecasting based on Elman neural network model of power load forecasting
Update : 2025-03-04 Size : 2kb Publisher : 青鱼
SOM神经网络的数据分类--柴油机故障诊断 Downloaded：0: Data classification of SOM neural network -- Diesel Engine Fault Diagnosis
Update : 2025-03-04 Size : 3kb Publisher : 青鱼
101259363Desktop Downloaded：0: The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clusterin
Update : 2025-03-04 Size : 2kb Publisher : playboyplay2

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