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Air quality management using genetic algorithm based heuristic fuzzy time series model
Bhagat, Lalit; Goyal, Gunjan; Bisht, Dinesh C. S.; Ram, … - In: The TQM journal : the international review of … 35 (2023) 1, pp. 320-333
Persistent link: https://www.econbiz.de/10014321185
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Prognose der Konjunkturentwicklung durch evolutionäre Verfahren der Informatik
Spalek, Adam - 2010 - 1., Aufl.
Persistent link: https://www.econbiz.de/10008747829
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Development of a method for synthesis the FIR filters with a cascade structure based on genetic algorithm
Petrosian, Ruslan; Chukhov, Vladyslav; Petrosian, Arsen - In: Technology audit and production reserves 4 (2021) 2/60, pp. 6-11
Persistent link: https://www.econbiz.de/10013166559
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An extended regularized Kalman filter based on Genetic Algorithm : application to dynamic asset pricing models
Jiang, Minqi; Liu, Jiapeng; Zhang, Lu - In: The quarterly review of economics and finance : journal … 79 (2021), pp. 28-44
Persistent link: https://www.econbiz.de/10012655014
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Forecasting a stock trend using genetic algorithm and random forest
Abraham, Rebecca; El Samad, Mahmoud; Bakhach, Amer M.; … - In: Journal of risk and financial management : JRFM 15 (2022) 5, pp. 1-18
a features selection model, based on the Genetic Algorithm (GA), and Random Forest (RF) classifier. In our study, we … consider four international stock indices that follow the concept of distributed lag analysis. We adopted a genetic algorithm …
Persistent link: https://www.econbiz.de/10013273115
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Modeling realized volatility dynamics with a genetic algorithm
Qu, Hui; Ji, Ping - In: Journal of forecasting 35 (2016) 5, pp. 434-444
Persistent link: https://www.econbiz.de/10011580981
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A new feature selection technique applied to credit scoring data using a rank aggregation approach based on optimization, genetic algorithm, and similarity
Bouaguel, Waad; Mufti, Ghazi Bel; Limam, Mohamed - In: Knowledge discovery process and methods to enhance …, (pp. 347-375). 2015
Persistent link: https://www.econbiz.de/10012123362
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Frequent knowledge patterns in evolutionary decision support systems for financial time series analysis
Lipinski, Piotr - In: Natural computing in computational finance : volume 3 ; …, (pp. 131-145). 2010
Persistent link: https://www.econbiz.de/10009514540
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On predictability and profitability : would GP induced trading rules be sensitive to the observed entropy of time series?
Navet, Nicolas; Chen, Shu-Heng - In: Natural computing in computational finance ; [the …, (pp. 197-210). 2008
Persistent link: https://www.econbiz.de/10009515168
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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