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Search results for: neural network
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Year: 2013, Volume: 13, Number: 3
... based methods, the curve fitting method, and the neural and a linear fuzzy membership function in determining the ... method in terms of the average estimation error of proper value of the distinguishing coefficient, the proposed gas breakdown ... , pp. 179-86, 2001 grey forecasting with neural network-based fuzzy regression by an [11] S.F. ...
Year: 2010, Volume: 10, Issue: 2
... voltage level in correlation with the extent of using efficient Neural Network Approach", IEEE Trans. on Power ... , 2010 Strategies for Power/Energy Saving in Distribution Networks Gheorghe GRIGORAS1, Gheorghe CARTINA1, Elena-Crenguta BOBRIC2 1 ... component in electricity networks. Electricity distribution improvement of the network, through its renewal with the introduction of the ...
Year: 2021, Volume: 21, Number: 4
... model has obvious performance historical data. Therefore, artificial neural network as a advantages, is conducive to the ... , y (2) Compared with other traditional neural networks, the original signal, and ξ represents the ... frequency. LSTM has the ability to learn long-term dependent information, which can deeply explore the complex (b ...
Year: 2011, Volume: 11, Number: 3
... 'r' consonant in Romanian paper we use the Kohonen neural network as a classifier and language using Kohonen neural ... . The study focused we will compare the level of performance achieved by the on words that contain 'r' ... the first letter and used signals SOM with those obtained by using the k-NN algorithm, in recorded mainly from ...
Year: 2010, Volume: 10, Issue: 4
... for wind speed estimation has been purposed and its Artificial Neural Networks (ANNs) are some other types of ... performance is compared to that of conventional methods. The model is based on linear predictive filtering and popular tools ... designed and tested through similar data. Wind speed data network for wind speed estimation using back-propagation have been collected ...
Year: 2018, Volume: 18, Number: 4
... the number of solutions below: generated). artificial neural networks [13], fuzzy systems [14 ... , The particle swarm method has been elaborated by James evolutionary algorithms [15], simulated annealing [16 ... , it can be said that it is in selected network system nodes, a class of methods designed to ...
Year: 2020, Volume: 20, Number: 2
... hourly solar radiation forecasting [10]. The artificial neural network (ANN) is one of the choices ... . F. Yaka, and G. T. networks," (in English), Iet Renewable ... Generation, vol. 5, no. Sardogan, "Determining the best model for estimation the monthly 6 ...
Year: 2023, Volume: 23, Number: 3
... , Support Vector Machines (SVM), and Convolutional Neural Networks (CNN), motivation of this research ... is to demonstrate that by is analyzed on two Serbian corpora of isolated words. The applying audio data augmentation ... the Viterbi decoder was employed to estimate the Convolutional Neural Network (CNN) is a Deep Learning most probable ...
Year: 2022, Volume: 22, Number: 2
... the combination of variational modal decomposition (VMD), neural network and However, it is difficult to select ... Management, 2021, 250: 114919. recurrent neural networks and error probability distribution," Energy, doi ... 10.1016/j.enconman.2021.114919 2022, 238: 122012. doi:10.1016/j.energy.2021.122012 [2] M. D ...
Year: 2019, Volume: 19, Number: 1
... model of an computerized vision-based approach generally works well artificial neural network (ANN) with input hidden weights under ... gyroscope, and hydrocarbon 97% [19] magnetometer networks (AHN) placed in the right front pockets ... people for the specified 6 bayesian decision Tunçel et al. activities. A total of 24 participants performed six ...
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