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Search results for: neural network
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Year: 2020, Volume: 20, Number: 2
... The ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ] using the exponential proposed [10]. The ANNs can be used to predict the next correction, ...
Year: 2020, Volume: 20, Number: 2
... plays an important role in the economic and social artificial neural network (ANN). Ekonomou [10] ... forecast energy demand of Turkey," Energy artificial neural networks," Energy, vol. 35, no ... 2, pp. 512-517, 2010, Conversion and Management, vol. 53, no. 1, ...
Year: 2020, Volume: 20, Number: 1
... detection is an important automatic feature representation, the convolutional neural technique of the navigation system for the visually impaired ... samples are fed to tune parameters in the The three networks are trained by 2238 positive samples 46 Advances in ... and Computer Engineering Volume 20, Number 1, 2020 and 4476 negative samples, which are previously generated in ...
Year: 2020, Volume: 20, Number: 1
... . Li, C. Su, and P. Wei, "Application of Neural [21] Shengming Wang, Junfeng Chen, Zhaoyang Hu, and Minghai ... , Network in Atmospheric Correction of High Voltage Test," 2018 "Study on series-parallel mixed-resonance model of wireless power IEEE International Conference on High Voltage Engineering and transfer ...
Year: 2019, Volume: 19, Number: 3
... convolution A new descriptor based on the difference of consecutive neural network. Zampoglou et al., [28 ... authenticate any video. Due to this shared on social networks to make false propaganda. During reason, passive ... A new descriptor based on the difference of consecutive neural network. Zampoglou et al., [28] ...
Year: 2019, Volume: 19, Number: 3
... , 2019 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification Marcus Tulius Barros ... ,2, Edson Guedes da COSTA1, Tarso Vilela FERREIRA1,3, André Dantas GERMANO1 1 Post-graduation Program ... proposes the use of artificial about a new artificial neural network training algorithm was neural networks (ANN) for ...
Year: 2019, Volume: 19, Number: 3
... Curve speed is also characterized with a higher precision. As a Modelling Using Artificial Neural Network", Renewable Energy, vol. 89, pp. 207-214, ... . doi:10.1016/j.renene.2015.11.065 result of overall hybridization and integration phases [16] X. Liu, "An Improved Interpolation Method for Wind Power Curves" ...
Year: 2019, Volume: 19, Number: 3
... street tree 10.1080/2150704X.2018.1444286. morphological parameters using artificial neural networks". [25] Hyyppä, J ... , Kelle, O., Lehikoinen, M., Inkinen, M. "A segmentation- Computers ... xi'an, 710048, China 2 Shaanxi Key Laboratory for Network Computing and Security Technology, xi'an, 710048, ...
Year: 2019, Volume: 19, Number: 3
... Volume 19, Number 3, 2019 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium- Ion Batteries ... , neural estimate the SOC value according to the corresponding networks. relationship between the open circuit voltage/resistance ... SOC. These two methods are rarely applied in practice due I. INTRODUCTION to the long time spent in ...
Year: 2019, Volume: 19, Number: 2
... a distribution static to manage hybrid storage systems for power quality compensator was designed with neural fuzzy network to enhancement in microgrids. reduce the harmonics of grid current and ... the voltage of DC-link. The method reduces the harmonic III. RES INTEGRATION distortion by up to 4% for the tests performed under the RESs can be installed ...
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