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Search results for: cluster
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Year: 2010, Volume: 10, Issue: 3
... ], an algorithm for adjusting the weights in a multilayer neural intelligent detector founded on decision making system was network. In [150], a two-stage supervised clustering-based proposed. A learning detection system was proposed in [70] neural network was developed to perform the classification which synthesize the status output of the decision rule ...
Year: 2010, Volume: 10, Issue: 3
... large numbers of basic researches, [7-11]. In (current, voltage and angles, etc.) may change significantly. combination with graph theory and cluster analysis theory, Our researches indicate that the variable with the biggest the fault analysis in complex electric power systems has coefficient in principal component usually corresponds to the ...
Year: 2010, Volume: 10, Issue: 1
... . Detecting a fault involves search, Depth-first search and cluster analysis. Then, we seek identifying a characteristic ... list) called simple artificial datasets. The most common clustering "open", and then, once examined ... are placed in the container algorithm choices are hierarchical cluster analysis. "closed" [20]. 29 ...
Year: 2010, Volume: 10, Issue: 1
... and Computer Engineering Volume 10, Number 1, 2010 Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation S.D.R ... V. PD PATTERN CLASSIFICATION E. Floating Discharge Fuzzy clustering analysis is a technique for statistical Badly earthed objects ... those The conventional experimental setup for PD measurement in other clusters. A Fuzzy C-Means Clustering (FCM) based ...
Year: 2009, Volume: 9, Issue: 3
... , respectively. Proceedings of eighth IEEE International Symposium on Cluster It means that the probabilities of occurring scheduling Computing ... comparison of Figures 5 cooperative and incentive-based federation of distributed clusters", and 7 reveals the differences between the ... scheme. new fuzzy algorithm for global job scheduling in multiclusters and Therefore, we can expect a much better ...
Year: 2010, Volume: 10, Issue: 1
... the other side, upgraded by means of two original contributions, namely an the design procedure may exploit the linearity of the output adaptive niching mechanism and an elite clustering procedure. in terms of model parameters. The main difficulty remains The authors have also suggested a set of enhancements to aid the genetic operators in effectively exploring ...
Year: 2009, Volume: 9, Issue: 3
... called model-free or qualitative contains feature extraction module, feature cluster module and methods [6]. In this ... of the fault as shown in Figure quickly. Fuzzy clustering can not only extract features from 12. Voltage ... V) is applied seldom to the system when fault raw data directly, but also select the optimal feature ...
Year: 2009, Volume: 9, Issue: 3
... and C. Zhou, "Architecture design of grid GIS and its [11] C.R. Lin, K.H. Liu, M.S. Chen, "Dual Clustering: Integrating Data applications on image processing based on LAN", Information Clustering over Optimization and Constraint Domains", IEEE Sciences. 166:1-17(2004 ...
Year: 2009, Volume: 9, Issue: 1
... The shape of the load profiles usually describes a daily Cluster analysis is a term used to describe a family ... and Computer Engineering Volume 9, Number 1, 2009 Clustering Techniques in Load Profile Analysis for Distribution Stations Elena ... simple copy of cluster analysis is to group objects into clusters so that the load profile from today or from ...
Year: 2009, Volume: 9, Issue: 1
... the proposed architecture are derived for different the MNs rather than DGNs. combination of cluster size and selected number of WTIMs. However, in a wireless sensor network ... systems [1 ], [2]. However, the fact that remotely clustered Wireless Sensor Networks. Recent MIMO techniques could require complex transceiver hardware advancements allow ...
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