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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: 2014, Volume: 14, Number: 1
... studied over the past years. combining fuzzy logic and neural networks. The simple Evolutionary algorithms such as Particle ... output (SISO) methodology using Adaptive Neuro-Fuzzy Inference System networks. An ANFIS implementation for energy prediction (ANFIS ... Neural could overcome the shortcoming of the ANNs and fuzzy Network (ANN) was presented in [3-4] ...
Year: 2023, Volume: 23, Number: 3
... referred to as "traffic prediction," which can neural networks. mitigate several health issues caused by traffic ... . Also, it can provide alternative paths to traffic jams, saving the I. INTRODUCTION citizens' time ... real-time data to make a short-term learning models or neural network architectures for time prediction of traffic flow during morning ...
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: 2009, Volume: 9, Issue: 2
... A. Review of SCADA systems (FLC) on neural network (NN). He has successfully avoided ... corporate industrial process, but the SCADA system may allow networks but the ramifications of a SCADA breach are far ... to change the set points for the flow, and enable more worrying than disruption to production. alarm conditions ...
56. Generation of Visual Patterns from BoVW for Image Retrieval using modified Similarity Score Fusion
Year: 2020, Volume: 20, Number: 2
... . This is done by category using VPs, the Neural Network is involved for determining the highest feature vectors ... if fvij  t2 *val fvij (3) Networks provide a solution for non-linear problems and it performs ... learning, i.e. it has the ability to self-learn catc   0, otherwise about a specified task ...
Year: 2012, Volume: 12, Number: 1
... . The system are whose functions are realized by Artificial Neural Network controlled to obtain desired performance depending on the ... . Bal, "Development and 2006. Implementation of Fuzzy-Neural Network Controller for Brushless [9] F. ... , S. Mei, Q. Lu, Y. Ni, F.F Wu and A. Yokoyama, ...
Year: 2015, Volume: 15, Number: 2
... time, besides PSO is more IEEE International Conference on Neural Networks, vol. 4, pp. 1942 ... communications the system model and problem statements are discussed. networks [1]. Despite the fact that the ...       2M   communications network uses binary pulse position   Q  Q ...
Year: 2009, Volume: 9, Issue: 1
... load bus. This method evaluates the ability profiles using neural-fuzzy models", 16th IEEE/PES Transmission and ... the difficulties encountered in optimal planning and operation of distribution networks. forecast, the voltage control, determination of ... customer information. In a distribution II. GENERAL CONSIDERATIONS network, there is in any moment certain degree of ...
Year: 2021, Volume: 21, Number: 2
... their accuracy and processing time. control block. Some neural network-based PD detection techniques have TABLE I. AN ... distributed energy resources," in 2018 IEEE PES Innovative networks trainer," in 2009 International Conference on Intelligent ... due to utility failure or short circuit in the power network. Disturbance of even a few cycles is of ...
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