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[Other] liziqunsuanfa DL : 0: 一本关于粒子群算法的书，适合初学者希望大家喜欢！-one of the PSO's book for beginners hope you like them!
Date : 2025-12-20 Size : 1.91mb User : qq
[Other] FuzzyClusteringToolbox.pdf DL : 0: 这本书是关于模糊聚类方面的，希望对大家的研究有所帮助！-This book is about aspects of fuzzy clustering, and they hope to help you study!
Date : 2025-12-20 Size : 1.98mb User : 何欢
[Other] SemiSupervisedLearning DL : 0: 半监督机器学习经典教程，详细讲解了半监督学习的各种方法-a book on semi-supervised learning
Date : 2025-12-20 Size : 5.25mb User : lin
[Other] automatically-extract-color-images DL : 0: 对传统的模糊C均值算法（FCM算法）进行了改进，并将其应用于彩色图像有意义区域提取中。-Traditional Fuzzy C-Means algorithm (FCM Algorithm) has been improved, and apply color images meaningful region extraction.
Date : 2025-12-20 Size : 6.22mb User : 韩子晨
[Other] Crop-target-color-images DL : 0: 在CIEL*a*b*空间，根据前面得出的图像分割的个数利用模糊聚类(FCM)对图像进行聚类，将得到的聚类中心与从标准色卡中提出的绿色对应的L*、a*、b*的参考值进行比较，与其最接近的类即为要提取的绿色作物目标 -Using fuzzy clustering (FCM) in CIEL* a* b* space, the number of the previously derived image segmentation image clustering, the cluster center will be raised from the standard color card corresponding to green L*, a*, b* of the reference values are compared, their closest classes is to be extracted green crops target
Date : 2025-12-20 Size : 6.22mb User : 韩子晨
[Other] Research-of-FCM---based-on--swarm DL : 0: 本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法-This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper
Date : 2025-12-20 Size : 812kb User : duo
[Other] Review-of-FCM DL : 0: 模糊聚类算法是近年来图像分割技术领域的研究热点之一。本文在对模糊C均值聚类算法分析的基础上，结合目前在图像分割中的应用研究，对模糊C均值聚类算法的有效性进行了比较分析。从隶属度、聚类数和其它方面，评述改进的模糊C均值聚类算法。最后讨论模糊C均值聚类算法目前存在的问题和发展方向。-Based on the analysis of the fuzzy C mean clustering algorithm, combined with the current research on applications in image segmentation, the effectiveness of the fuzzy C mean clustering algorithm are compared and analyzed. From the membership, and other aspects of the number of clustering, fuzzy C means clustering algorithm improved the review. Finally discusses the problems and development direction of fuzzy C means clustering algorithm is present.
Date : 2025-12-20 Size : 227kb User : 德静
[Other] 111 DL : 0: 本研究开发一种混合自动进化模糊学习算法决定了最优路径旅行附近大规模旅行商问题 (LSTSPs)。LSTSPs识别解决方案是一种最复杂的主题全球的组合优化问题。提出的混合进化模糊学习计划的优点结合自适应模糊c均值(FCM),简单不等式性质合并的概念,模拟退火(SA)算法和一种有效的学习表transform-based粒子群优化(TPSO)。本研究使用方法来处理大型TSP路由系统。应用进化TPSO学习算法-This study develops a hybrid evolutionary fuzzy learning algorithm that automatically determines the near optimal traveling path in large-scale traveling salesman problems (LSTSPs). Identifying solutions for LSTSPs is one of the most complicated topics in the field of global combinatorial optimization problems. The proposed hybrid evolutionary fuzzy learning scheme combines the advantages of the adaptive fuzzy C-means (FCM), simple MAX–MIN merging concept, simulated annealing (SA) learning algorithm and an efficient table transform-based particle swarm optimization (TPSO). This study uses the proposed method to deal with the large-size TSP routing system.
Date : 2025-12-20 Size : 1.87mb User : qi