Suchergebnisse - PSO-Kmeans clustering algorithm

A novel system for discovery and reuse of typical process route based on information entropy and PSO-Kmeans clustering algorithm von LI, Chunlei, CHANG, Zhiyong, LI, Liang

“… To determine the reuse object scientifically and raise the reuse flexibility, a novel system for discovery and reuse of typical process route based on the information entropy and PSO-Kmeans …”
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A novel system for discovery and reuse of typical process route based on information entropy and PSO-Kmeans clustering algorithm von LI, Chunlei, CHANG, Zhiyong, LI, Liang

“… clustering algorithm is proposed in this paper. In this system, a similarity measurement method of machining process routes based on the information entropy of multistage longest common subsequence is developed …”
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Study on typical process route mining method based on multilevel longest common subsequence information entropy and intelligent clustering model von Chunlei, Li

“… ) information entropy and intelligent clustering model is proposed in this paper …”
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A new hybrid optimization approach using PSO, Nelder-Mead Simplex and Kmeans clustering algorithms for 1D Full Waveform Inversion von Aguiar Nascimento, Rutinaldo, Neto, Álvaro Barroca, Bezerra, Yuri Shalom de Freitas, do Nascimento, Hugo Alexandre Dantas, Lucena, Liacir dos Santos, de Freitas, Joaquim Elias

“… We call the hybrid algorithm of the PSO-Kmeans-ANMS. Where K-means is responsible for dividing swarms of particles into 2 clusters at every instant …”
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A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks von Karami, Amin, Guerrero-Zapata, Manel

“… Usually, clustering algorithms would fit the requirements for building a good anomaly detection system …”
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Exploring Swarm Intelligence for Enhanced Clustering in Artificial Intelligence: A PSO-Kmeans Hybrid Approach von Adbi, Said, Mouncif, Hicham

“… Numerous optimization methods have been proposed in academic research to address clustering-related challenges, but swarm intelligence has established a prominent position in the field …”
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A Novel Algorithm for Wind, Solar Irradiation, and Load Joint Scenario Generation: MC-AE-PSO-Kmeans von Cao, Jian, Xing, Xubin, Zhao, Xiaoyan

“… This paper introduces a novel algorithm MC-AE-PSO-Kmeans for generating typical scenarios of regional renewable energy generation and regional load, integrating machine learning and intelligent optimization techniques …”
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一种新的基于信息熵和PSO-Kmeans聚类算法的典型工艺路线发现与重用体系 von 李春磊, 常智勇, 李亮

“… TP391; 制造企业在经营和发展过程中会积累大量的制造实例,对这些实例资源进行合理地挖掘和重用,是提高制造效率和支持创新的最有效途径之一.为了科学确定重用对象和提高重用灵活性,提出了一种基于信息熵和PSO-Kmeans聚类算法的典型工艺路线发现与重用体系.在该体系下,提出了一种基于多级最长公共子序列信息熵的机加工艺 …”
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Optimal cluster analysis using hybrid K-Means and Ant Lion Optimizer von Majhi, Santosh Kumar, Biswal, Shubhra

“… , KMeans-PSO, KMeans-FA, DBSCAN and Revised DBSCAN clustering methods based on different performance metrics …”
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The Impact of Big Data-Driven Industrial Digital Unification System on Commercial Management Operational Efficiency von Maowu, Mengyuan, Zhang, Haidong, Wang, Juncai, Wu, Yi

“… The K-means clustering algorithm is then improved by using a particle swarm algorithm that is based …”
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K-means clustering algorithm based on improved Cuckoo search algorithm and its application von Ye, Shuce, Huang, Xiaoli, Teng, Yinyin, Li, Yuxia

“… ). The algorithm is compared with the original K-means, the Kmeans algorithm based on particle swarm optimization (PSO-Kmeans …”
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Investigation of Domain Name System Attack Clustering using Semi-Supervised Learning with Swarm Intelligence Algorithms von Alibrahim, Hussain, Ludwig, Simone A.

“… A family of bio-inspired algorithms, well known as Swarm Intelligence (SI) methods, have recently emerged to meet the requirements for the clustering task and have been successfully applied to various real-world clustering problems …”
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An energy efficient routing scheme in internet of things enabled WSN: neuro-fuzzy approach von Tewari, Peeyush, Tripathi, Sandesh

“… The novelty of the proposed algorithms is the multiple parameters for the routing in IoT-enabled WSN as consideration of CH distance to sink, cluster size, and residual energy of CH …”
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Defect detection and classification of offshore wind turbine rotor blades von Deng, Liwei, Liu, Shanshan, Shi, Wei, Xu, Jiazhong

“… ) algorithm combined with K-means is used to classify …”
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Implementation of data mining algorithm based on Cluster analysis for sports training technique and tactics analysis von Hao, Min

“… the data, and optimizes the global Kmeans algorithm based on the fast global convergence of PSO …”
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Segmentation and Classification of Dermascopic Image for Skin Cancer Analysis with Enhanced K?Means Swarm Optimization and PNN von Prathima, G, R Shobha Rani

“… Skin cancer is considered to be one of the most dangerous cancers, with a high fatality rate. There are two forms of this cancer: Melanoma, which is the most …”
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Detection of network anomaly based on hybrid intelligence techniques von Shahbaa I. Khaleel, Karam mohammed mahdi saleh

“… is designed and developed for network intrusion detection, where the research was presented four methods for network anomaly detection using clustering technology and dependence on artificial …”
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Multivariate Analysis of Clustering Algorithms for Marine Data von Vincent, Agnes Nalini, Sakthidasan, K., Laloo, Nassirah, Bagurubumwe, Uhoze

“… This paper, proposes a comparative analysis of different clustering algorithms such as KMeans, Genetic KMeans, Group K-means (Birch …”
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