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Formulierung und Optimierung neuronaler Netze
Rast, Martin - 2004
Persistent link: https://www.econbiz.de/10002178813
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Fusion von Expertenwissen und Daten mit Neuro-Fuzzy-Methoden zur Prognose von Finanzzeitreihen
Siekmann, Stefan - 1999
Persistent link: https://www.econbiz.de/10001423741
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Cloud spot price prediction approach using adaptive neural fuzzy inference system with chaos theory
Amekraz, Zohra; Hadi, Moulay Youssef - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 23-46
Persistent link: https://www.econbiz.de/10013256817
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Financial sequence prediction based on swarm intelligence algorithms of Internet of Things
Liu, Jinquan; Wei, Yupin; Xu, Hongzhen - In: Computational economics 59 (2022) 4, pp. 1465-1480
Persistent link: https://www.econbiz.de/10013261845
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An Improved Intelligent Model for Stock Market Time Series Data Prediction Using Fuzzy Logic and Deep Neural Networks
Mousaie, Parniyan; Aghaeizadeh Saheli, Farzad - 2023
It is vitally crucial to establish a method that can accurately forecast prices on the stock exchange market because of the influence the stock market has on the country’s ability to raise capital and advance its economic growth. On the stock market, a great number of sensitivity factors are...
Persistent link: https://www.econbiz.de/10014348276
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Multivariate picture fuzzy time series : new definitions and a new forecasting method based on pi-sigma artificial neural network
Bas, Eren; Egrioglu, Erol; Tunc, Taner - In: Computational economics 61 (2023) 1, pp. 139-164
Persistent link: https://www.econbiz.de/10014228419
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Time-varying parameter energy demand functions : benchmarking state-space methods against rolling-regressions
Alptekin, Aynur; Broadstock, David C.; Chen, Xiaoqi; … - In: Energy economics 82 (2019), pp. 26-41
Persistent link: https://www.econbiz.de/10012173810
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Carsharing customer demand forecasting using causal, time series and neural network methods : a case study
Moein, Elnaz; Awasthi, Anjali - In: International journal of services and operations … 35 (2020) 1, pp. 36-57
Persistent link: https://www.econbiz.de/10012178607
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Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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Confidence intervals for diffusion index forecasts and inference for factor-augmented regressions
Bai, Jushan; Ng, Serena - In: Econometrica : journal of the Econometric Society, an … 74 (2006) 4, pp. 1133-1150
Persistent link: https://www.econbiz.de/10003346183