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Search results for: neural network
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Year: 2010, Volume: 10, Issue: 3
... [112]. The detection using the combination of neural staged earth fault cases at a sampling frequency of ... Phase or Natural Fault Current and voltage (MV) networks is modeled. The fault is represented Voltage in ... on the magnitude generated by a leaning tree towards the network conductor of phase or natural fault current measurement [ ...
Year: 2023, Volume: 23, Number: 3
... , Pre-Labelling, and Creation of classifier uses a Convolutional Neural Network (CNN) Classification Models structure to classify ... approach that optimizes flow routing and using local and global networks has made it very challenging to reduces the number ... routing paths, considering the limited manage network traffic, especially during epidemics and TCAM resource. This method efficiently ...
Year: 2008, Volume: 8, Issue: 2
... by systems which make use of computational scheme similar to neural. Unified methodological approach was developed for certificates and ... of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems Volodymyr KOZHEMYAKO1, Leonid TIMCHENKO2, Andriy ... mask function of current (m) and tail mask networks C2( i, j). Also as ...
Year: 2009, Volume: 9, Issue: 3
... Radial Basis Function spread parameter value for functions of those neural (RBF) neural network method used to analyze ... and a wavelet scaled morphological information as features and a neural-network by a at a given time Ï„. The ... is localized in time classifier for differentiating the ECG beats. In [4 ], the author and is ...
Year: 2017, Volume: 17, Number: 1
... the popular neuro-fuzzy methods that is Index Terms — fuzzy neural networks, adaptive control, gain the hybrid combination ... . Jiang, L. Hongfei, "An adaptive neural-fuzzy inference post-transmission digital equalization", in Proc. ... significant subject for WDM/DWDM network communication systems and networks. For this reason, it is crucial to ...
Year: 2022, Volume: 22, Number: 3
... . This method allows users to increase designed with artificial neural networks, and this creates protection of personal data ... reduce the risk of new methods to identify security issues of apps. There are permission-induced attacks, namely the ... purpose is to identify infected or malicious analyzed permissions, network traffic and local storage to components of an app ...
Year: 2012, Volume: 12, Number: 2
... , Number 2, 2012 Optimized Simulation Framework for Spiking Neural Networks using GPU's Radu MIRSU, Sebastian MICUT, ... This is equivalent to a 6 classes as follows: SpikingNeuralNetwork, Neuron, negative synaptic gain. Input signals ... be injected in DelayLine, Synapse, InputSource, and ActivityRecorder various places of the neural network. Signals act ...
Year: 2010, Volume: 10, Issue: 2
... Cancelo [7] used this idea to single wavelet neural network to approximate the policy control the WECS. ... proposed a neural-network-based function of the Actor and the value function of the Critic structure consisting of two combined control ... new control scheme for variable speed wind turbine using neural networks. IEEE Power Eng 420 Soc Winter Meeting 1 ...
Year: 2013, Volume: 13, Number: 4
... , these traditional methods can not be (BP) neural network based acoustic source localization method applied directly. ... , F. A. Sakarya, "A unified neural-network-based speaker microphone arrays in the Hopkins acoustic surveillance unit ... , Micro- localization technique", IEEE Transactions on Neural Networks, vol. Nanoelectronics, Technology and Applications ...
Year: 2013, Volume: 13, Number: 1
... Number 1, 2013 Automatic and Parallel Optimized Learning for Neural Networks performing MIMO Applications Francesco Riganti FULGINEI1, Antonino ... Yu and Q. J. Zhang, "High-Dimensional Neural-Network Technique and Applications to Microwave Filter Modeling", ... Trans on Micr. Theory and Tech., vol. 58, no. 1, January (2010 ...
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