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Search results for: neural network
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Year: 2013, Volume: 13, Number: 2
... Minimal Number of Particles Proceedings of IEEE International Conference on Neural Networks for a Simplified Particle Swarm Optimization Algorithm" ... 6th IEEE IV, NJ: IEEE Press, 1995, pp.1942-1948. International Symposium on Applied Computational Intelligence and ... , pp. 11- optimization: Application to pipe network design", International 16. Journal of Modelling ...
Year: 2020, Volume: 20, Number: 3
... , 1994. Proceedings of the IEEE International Conference on Neural [38] R. Cooper, "Introduction ... queueing theory", 2nd Ed. New York, Networks, vol. IV, pp. 1942 – ... find the balance between the negative selection, and immune network algorithms. In this patient admission and costs for ...
Year: 2017, Volume: 17, Number: 4
... VI. APPLICATION In general, we always use convolutional neural network (CNN) to recognize the handwritten images ... characters and adjust the weight of CNN by back-propagation neural network (BPN). In this paper, we ... B, Haber R, "Optimal Tuning of a Networked and scope of applications", Expert Systems with ...
Year: 2017, Volume: 17, Number: 1
... by the National Key Basic Research technologies [7-9] are the radial basis function neural Project (973 Program) of China (2012CB215200), the National Natural ... (RBF), the wavelet neural network (WNN), support Science Foundation of China (51637005), the Fundamental Research Funds for the Central Universities ( ...
Year: 2017, Volume: 17, Number: 2
... transition probability Kim et al found significant decreases in reading speed We constructed a convolutional neural network (CNN) to between a group of elderly people aged between 60 ... 70 generate feature vectors that are fed into a fully-connected and a group of people aged between 40 and 50 [8]. Also, network (FC) ...
Year: 2017, Volume: 17, Number: 3
... . Many MPP tracking (FLC) MPPT technique [16-18], and the neural network methods have been proposed for this purpose. One of these is method ... 19-22]. However, the realization of artificial the Perturb and Observe Method (P &O) which is the most intelligence methods is overwhelmingly complex in the ...
Year: 2011, Volume: 11, Number: 3
... its derivatives. Since in these approaches, the Other clustering methods are based on neural networks clustering criterion is based on Euclidean distance between [32] -[ ... ]. The neural networks have the capability of the samples and calculated centers of clusters, inappropriate constructing an arbitrary nonlinear mapping from multiple value selection of the number ...
Year: 2011, Volume: 11, Number: 2
... coating of CWF, turn length of CWF and winding Three-Phase Transformer Energization Using Artificial Neural pitch will be effective on the total SC of the MCG. In order ... , we need to calculate the SC in the following cases: node-to-node lumped capacitance network. Reference [7] ï‚· Capacitance between wire filaments in one turn ( ...
Year: 2014, Volume: 14, Number: 4
... . H. Zaabab, Qi-Jun Zhang, and M. Nakhla, "A neural network Regular Papers, vol. 61, no. 7, pp. ... allows to create a describing complex devices, like those found in integrated deterministic augmented network from circuit inspection. circuits. Moreover, based on recently-published works in this ...
140. Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems
Year: 2013, Volume: 13, Number: 3
... [5-6]. and output variables of fuzzy logic controller. Since type-2 The neural networks are also used as MPPT algorithm. fuzzy sets are used, effect ... uncertainties on maximum power Since the PV arrays have different characteristics, neural- point tracking capability is removed. Operation point of the networks have to be trained for ...
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