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Search results for: cluster
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Year: 2013, Volume: 13, Number: 1
... model by starting from whole process, a parallel architecture can be easily a single MIMO NN is frequently adopted in literature, the implemented since each node of the cluster is used to train proposed method introduces three other steps: 1) a further SISO NNs separately (see [17]). The optimization of decomposition ...
Year: 2013, Volume: 13, Number: 4
... [3] Y. Kusunoki, M. Inuiguchi, J. Stefanowski, "Rule induction via In this paper a novel hybrid method for fast finding the clustering decision classes," International Journal of Innovative RWBCA is proposed. Usually a dataset has a lot of reducts Computing Information and Control, vol. 4, ...
Year: 2019, Volume: 19, Number: 1
... vehicle routing problem with constraints vessels localization approach which uses the multi-objective that make it difficult to solve. The routes used by care version of FPA for image optimal clustering and Pattern workers to provide care to patients who live in the same Searching algorithm for segmentation results enhancement geographic area and who must be treated at home have ...
Year: 2019, Volume: 19, Number: 4
... problem depending on processing technologies, using new methods such as neural power system data. PF becomes more complicated due to networks; deep learning; heuristic methods and clustering system constraints whereas satisfying the system based optimization techniques in order to solve power flow parameters. Power system operating is a challenging task has grown, rapidly. ...
Year: 2011, Volume: 11, Number: 3
... to log 1+ âƒ- âƒ-. 6 Advances in Electrical and Computer Engineering Volume 11, Number 3, 2011 Notice that if the 1,< Ï› are clustered about their mean= log 1+. 1/μ we can approximate 1 1 1 (23)=. Note that under the SVA or SSVA ...
Year: 2018, Volume: 18, Number: 3
... proxy logs. Castellano, Fanelli, subscriber over time. The model proposed in this study is a Mencar, and Torsello [25] also proposed a fuzzy clustering simplified version of [6] in terms of the number of algorithm to identify the user profiles by using the web categories. The number of categories is ...
Year: 2020, Volume: 20, Number: 3
... Algorithm (BHA) was proposed in 2013 algorithms, the solution is given by the position in which a [21] as a heuristic method for solving data clustering bacterium reached its best healthy status. problems. It is inspired by the black hole attraction 2) Non swarm algorithms. phenomenon. The star (agent ...
Year: 2019, Volume: 19, Number: 4
... this cascading can be repeated depending on the speed up the convergence rate recently [29]. For data number of transmission lines used in the design, which clustering improved hybrid method based on cuckoo means the general formula can be extended as: optimization and modified particle swarm optimization was suggested by Bouyer and Hatamlou [30 ...
Year: 2015, Volume: 15, Number: 1
... many simulations have also verified the effectiveness of As an important auxiliary system which can improve the fault factor analysis. In paper [20], based on fuzzy cluster operation safety of power system, WAMS will become an analysis theory and the principle of minimum expected cost of misclassification, a comprehensive detection and isolation 1 system ...
Year: 2014, Volume: 14, Number: 2
... in a zigzag pattern, while k denotes the number are in a Non-uniform pattern (b) Tags are Scattered Randomly (c) Tags are placed in a Cluster (d) Tags are Uniformly placed in 3D space. of mobile readers involved in tracking process. TABLE I. CHARACTERISTICS OF ALL SCENARIOS. III. ...
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