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Search results for: neural network
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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: 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: 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 ...
Year: 2014, Volume: 14, Number: 1
... "Particle swarm optimization," IEEE International Conference on Neural Networks, Vol. 4, pp. 1942 ... 1948, 1995. [10] S. Das, A. Abraham, A. Konar, " ... ], maximum transmission lines causes adverse impact on the network, loading, and density of system lines [ ...
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