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Search results for: neural network
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Year: 2018, Volume: 18, Number: 2
... renewable Decomposition (EMD), the Radial Basis Function Neural energy and insufficient power grid capacity, all countries ... Vlasselaer, Wannes coefficients on building surfaces using artificial neural networks," Meert. "LS-SVM based spectral clustering ... regression for Energy and Buildings, vol.158, pp.1429-1441, Jan. 2018. predicting maintenance of industrial machines, ...
Year: 2018, Volume: 18, Number: 1
... modalities like repeatability, increased from AD subjects through the neural activity as in default- spatial as well as ... facilitating the discovery of medial temporal lobe. Disruption of networks of functional proper therapies and medicines. Our proposed ... have been used with different image activation in the dispersed network of cortical regions, modalities and with different classifiers ...
Year: 2018, Volume: 18, Number: 1
... applied elements (TSL260RD) are distanced from one artificial neural network (ANN) used in [37] ... sensor and the code version, patternnet function for feedforward networks) as of the recognized pose of a hand ... The localization of the they proved effective in earlier studies [37]. In this approach hand can be ...
124. "energy management, graphical user interfaces, microgrids, renewable energy sources, SCADA systems"
Year: 2018, Volume: 18, Number: 1
... Chattopadhyay, "Tri-Axial Vibration Salas, "FPGA-based entropy neural processor for online detection of Analysis Using Data Mining ... SS054 optimized bayesian inference," IEEE trans. neural networks and [26] Z. Deng, F ... radial basis function counterparts. Particularly RF has shown outstanding network (RBF), support vector machine (SVM ...
Year: 2018, Volume: 18, Number: 1
... Using Adaptive Dynamic 0.86 Programming," IEEE Trans. Neural Netw. Learn. Syst., vol. ... is a population based algorithm. Each chromosome is distribution networks serving 1000 houses with nominal exposed to mutation, ... , 2018 Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept Ahmet DOGAN ...
Year: 2018, Volume: 18, Number: 1
... 48, pp. 83 – 88, 2016. Using Nonlinear Dynamics, Artificial Neural Networks and Neuro- doi:10.1016/j.gaitpost.2016.04.030. Fuzzy Classifier," ... in Electrical and Computer Engineering, [26] H. Gonzalez-Jorge et al., "Metrological evaluation of Microsoft vol. 14, no. 1, pp ...
Year: 2018, Volume: 18, Number: 1
... for action support vector machines (SVM), and neural networks (NN) recognition using an acceleration sensor ... The data for the techniques and aggregates their outputs by using fuzzy acceleration sensor of the smartphone has been collected ... assignment of optimal confidence levels of the classifiers. The network, decision tree, and logistic regression for action ...
Year: 2017, Volume: 17, Number: 4
... such degree sequence is mining approach using fuzzy logic, neural networks[12- 15] called as anonymized ... network is represented as an undirected graph and it Social networks have gained popularity among people reveals much useful information ... , Number 4, 2017 k-Degree Anonymity Model for Social Network Data Publishing Kamalkumar R. MACWAN, Sankita J ...
Year: 2017, Volume: 17, Number: 4
... , Acoustics, and more. database to train the neural net and took the DSE process The developers have ... . The integration with addition, we simplified the neural networks complexity, by MATLAB is of importance to us ... 351, April 2008, doi: uses a neural network for each of the outputs and by 10.1109/ ...
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 ...
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