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  • Search: subject:"Multilayer perceptrons"
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Year of publication
Subject
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Multilayer perceptrons 3 Autoregressive integrated moving average 2 Financial time series forecasting 2 Forecasting model 2 Prognoseverfahren 2 Series and parallel combination strategies 2 Stock markets 2 ARCH model 1 ARCH-Modell 1 ARMA model 1 ARMA-Modell 1 Aktienmarkt 1 Anlageverhalten 1 Artificial intelligence 1 Behavioural finance 1 Bi-LSTM 1 Börsenkurs 1 Emotion 1 Künstliche Intelligenz 1 Machine learning 1 Sentiment analysis 1 Share price 1 Stock market 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1
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Online availability
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Free 3 CC license 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Hajirahimi, Zahra 2 Khashei, Mehdi 2 Akusta, Ahmet 1
Published in...
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Financial Innovation 1 Financial innovation : FIN 1 Istanbul business research 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Integrating market sentiments for stock price prediction : a comparative study of Bi-LSTM and multilayer perceptions
Akusta, Ahmet - In: Istanbul business research 54 (2025) 1, pp. 99-121
multilayer perceptrons (MLPs) developed alongside historical stock price data. This study assesses the predictive performance …
Persistent link: https://www.econbiz.de/10015411682
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Performance evaluation of series and parallel strategies for financial time series forecasting
Khashei, Mehdi; Hajirahimi, Zahra - In: Financial Innovation 3 (2017) 24, pp. 1-24
(ARIMA) and multilayer perceptrons (MLPs) are used to construct two series hybrid models, ARIMA-MLP and MLP-ARIMA, and three …
Persistent link: https://www.econbiz.de/10011808260
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Cover Image
Performance evaluation of series and parallel strategies for financial time series forecasting
Khashei, Mehdi; Hajirahimi, Zahra - In: Financial innovation : FIN 3 (2017) 24, pp. 1-24
(ARIMA) and multilayer perceptrons (MLPs) are used to construct two series hybrid models, ARIMA-MLP and MLP-ARIMA, and three …
Persistent link: https://www.econbiz.de/10011747738
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