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A feedforward deep neural network for predicting the state-of-charge of lithium-ion battery in electric vehicles
Adedeji, Bukola Peter; Kabir, Golam - In: Decision analytics journal 8 (2023), pp. 1-20
This study proposes a feedforward deep neural network to predict the parameters of the lithium-ion battery in electric …. A direct feedforward deep artificial neural network is developed to predict a battery's charge state and develop the … a battery only. The mean square error is used as the metric for accurate measurement. During the simulation by the …
Persistent link: https://www.econbiz.de/10014516465
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Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
Sermpinis, Georgios; Stasinakis, Charalampos; Dunis, … - In: Journal of international financial markets, … 30 (2014), pp. 21-54
Persistent link: https://www.econbiz.de/10011293055
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Forecasting stock market using discrete wavelet transforms and artificial neural networks model
Tripathy, Nalini Prava; Jaipuria, Sanjita - In: The empirical economics letters : a monthly … 19 (2020) 11, pp. 1263-1277
Persistent link: https://www.econbiz.de/10012599697
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BRICS capital markets co-movement analysis and forecasting
Maiti, Moinak; Vukovic, Darko; Vyklyuk, Yaroslav; … - In: Risks : open access journal 10 (2022) 5, pp. 1-13
The present study analyses BRICS (Brazil, Russia, India, China, South Africa) capital markets in both time and frequency domain using wavelets. We used artificial neural network techniques to forecast the co-movement among BRICS capital markets. Wavelet coherence and clustering estimates uncover...
Persistent link: https://www.econbiz.de/10013359126
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Reducing errors of wind speed forecasts by anoptimal combination of post-processing methods
Sweeney, Conor; Lynch, Peter; Nolan, Paul - 2011
Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds over a two year period are compared to observed wind speeds at seven synoptic...
Persistent link: https://www.econbiz.de/10009475735
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A hybrid commodity price-forecasting model applied to the sugar-alcohol sector
Ribeiro, Celma O.; Oliveira, Sydnei M. - In: The Australian journal of agricultural and resource … 55 (2011) 2, pp. 180-198
Persistent link: https://www.econbiz.de/10009312025
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A multiple adaptive wavelet recurrent neural network model to analyze crude oil prices
Tang Mingming; Zhang Jinliang - In: Journal of economics & business 64 (2012) 4, pp. 275-286
Persistent link: https://www.econbiz.de/10009618503
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A wavelet and neural network model for the prediction of dry bulk shipping indices
Leonov, Yordan; Nikolov, Ventsislav - In: Maritime economics & logistics : a quarterly scientific … 14 (2012) 3, pp. 319-333
Persistent link: https://www.econbiz.de/10009618765
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Using Kalman-filtered radial basis function networks for index arbitrage in the financial markets
Edelman, David - In: Natural computing in computational finance ; [the …, (pp. 187-195). 2008
Persistent link: https://www.econbiz.de/10009515169
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Agility-oriented logistics demand forecasting for answering dynamic factors in uncertain supply chain environment
Miao, Xin; Xi, Bao; Zou, Hui-min - In: International journal of agile systems and management : … 3 (2008) 3/4, pp. 216-227
Persistent link: https://www.econbiz.de/10003801351