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  • Search: subject:"Denoising autoencoders"
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Year of publication
Subject
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Forecasting model 2 Learning 2 Learning process 2 Lernen 2 Lernprozess 2 Neural networks 2 Neuronale Netze 2 Prognoseverfahren 2 Theorie 2 Theory 2 Artificial intelligence 1 Autoencoders 1 Bitcoin price prediction 1 Correction 1 Deep extraction 1 Deep learning 1 Deep neural networks 1 Denoising autoencoders 1 Feature learning 1 Künstliche Intelligenz 1 Momentum strategy 1 Preis 1 Price 1 Stacked denoising autoencoders 1 Virtual currency 1 Virtuelle Währung 1 convolutional neural network 1 deep learning 1 fault diagnosis 1 feature learning 1 multivariate process 1 stacked denoising auto-encoders 1
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Undetermined 3
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Kim, Saejoon 1 Li, Guowen 1 Li, Jianping 1 Liu, Mingxi 1 Wang, Shijin 1 Yao, Yinhong 1 Yu, Jianbo 1 Zhang, Chengyi 1 Zhu, Xiaoqian 1
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Finance research letters 1 International journal of production research 1 Quantitative finance 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Forecasting the price of Bitcoin using deep learning
Liu, Mingxi; Li, Guowen; Li, Jianping; Zhu, Xiaoqian; … - In: Finance research letters 40 (2021), pp. 1-8
Persistent link: https://www.econbiz.de/10012819967
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Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder
Zhang, Chengyi; Yu, Jianbo; Wang, Shijin - In: International journal of production research 59 (2021) 8, pp. 2426-2449
Persistent link: https://www.econbiz.de/10012501291
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Enhancing the momentum strategy through deep regression
Kim, Saejoon - In: Quantitative finance 19 (2019) 7, pp. 1121-1133
Persistent link: https://www.econbiz.de/10012194747
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