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On-chip earthquake simulation model using potentials
Georgoudas, I.; Sirakoulis, G.; Scordilis, E.; Andreadis, I. - In: Natural Hazards 50 (2009) 3, pp. 519-537
model and its instrumentation. The CA model hardware implementation is based on Field Programmable Gate Array (FPGA) logic …
Persistent link: https://www.econbiz.de/10010996836
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Symbolic regression-based adaptive generation of implied volatility
Yen, Joseph; Qi, Yuan Yuan; Wong, Seng Fat; Zhou, Jiantao - In: International journal of financial engineering 9 (2022) 3, pp. 2250018-1-2250018-27
Persistent link: https://www.econbiz.de/10013367616
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Artificial intelligence in energy industry : forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
Tutun, Salih; Tosyali, Ali; Sangrody, Hossein; … - In: Journal of business analytics 6 (2023) 1, pp. 59-76
Persistent link: https://www.econbiz.de/10013536148
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Estimation of Monthly Mean Reference Evapotranspiration in Turkey
Citakoglu, Hatice; Cobaner, Murat; Haktanir, Tefaruk; … - In: Water Resources Management 28 (2014) 1, pp. 99-113
fuzzy inference system (ANFIS) and artificial neural network (ANN) models. Various combinations of long-term average monthly … as inputs to the ANFIS and ANN models so as to calculate ET <Subscript> 0 </Subscript> given by the FAO-56 PM (Penman …-Monteith) equation. First, a comparison is made among the estimates provided by the ANFIS and ANN models and those by the empirical …
Persistent link: https://www.econbiz.de/10010997975
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Computational intelligence for gas imports forecasting
Atsalakis, George; Ioannou, Sofia Evangelia; … - In: International journal of financial engineering and risk … 2 (2015) 1, pp. 17-29
Persistent link: https://www.econbiz.de/10011344371
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Realizing the effects of trust and personality in cross functional teams using ANFIS classification framework
Krishankumar, R.; Ravichandran, K. S. - In: Computational and mathematical organization theory 24 (2018) 2, pp. 243-276
Persistent link: https://www.econbiz.de/10011856240
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Forecasting the success of a new tourism service by a neuro-fuzzy technique
Atsalakis, George S.; Atsalaki, Ioanna G.; Zopounidis, … - In: European journal of operational research : EJOR 268 (2018) 2, pp. 716-727
Persistent link: https://www.econbiz.de/10011852790
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The chatbot artificial intelligence as the alternative customer services strategic to improve the customer relationship management in real-time responses
Sofiyah, Fivi Rahmatus; Dilham, Ami; Hutagalung, Arif Qaedi - In: International journal of economics and business … 27 (2024) 5, pp. 45-58
Persistent link: https://www.econbiz.de/10015063309
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Approximate nonlinear forecasting methods
White, Halbert - 2006
Persistent link: https://www.econbiz.de/10003338436
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Machine Learning Vasicek Model Calibration with Gaussian Processes
Sousa, João Beleza - 2014
In this paper we calibrate the Vasicek interest rate model under the risk neutral measure by learning the model parameters using Gaussian processes for machine learning regression. The calibration is done by maximizing the likelihood of zero coupon bond log prices, using mean and covariance...
Persistent link: https://www.econbiz.de/10013068908