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  • Search: subject:"feed forward neural network"
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Year of publication
Subject
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Neural networks 5 Neuronale Netze 5 Forecasting model 4 Prognoseverfahren 4 Theorie 4 Theory 4 Feed-forward neural network 3 Artificial Neural Network (ANN) 2 Artificial intelligence 2 BRICS 2 Compressed sensing 2 Crude oil price prediction 2 Data denoising 2 De Rezende-Ferreira model 2 Feed-Forward Neural Network (FFNN) 2 Hybrid model 2 Künstliche Intelligenz 2 Management information system 2 Management-Informationssystem 2 emerging markets 2 term structure 2 Activation Function 1 Aktienindex 1 Aktienmarkt 1 Artificial neural network 1 BRICS countries 1 BRICS-Staaten 1 BSE Sensex 1 Backpropagation 1 Backpropagation Algorithm 1 Basis Function 1 Batch Size 1 Benchmarking 1 Best performance modeling 1 Character Recognition 1 Continuous improvement 1 DEA 1 Data analytics 1 Data envelopment analysis 1 Data-Envelopment-Analyse 1
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Online availability
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Undetermined 7 Free 2 CC license 1
Type of publication
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Article 10
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 1
Language
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English 7 Undetermined 3
Author
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Castello, Oleksandr 2 Resta, Marina 2 Tang, Ling 2 Yu, Lean 2 Zhao, Yang 2 Agarwal, Sonali 1 Celik, Ali N. 1 Choudhury, Salimur 1 Dia, Mohamed 1 Guo, Zhenhai 1 Kaczmarczyk, Paweł 1 Khan, Jwaad Akhtar 1 Kolhe, Mohan 1 Kumar, Sandeep 1 Lu, Haiyan 1 Shahi, Shashi K. 1 Singh, Gunjan 1 Singh, Manu Pratap 1 Wang, Jianzhou 1 Yan, Peizhi 1 Zhao, Weigang 1
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Published in...
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Applied Energy 1 Energy Economics 1 Energy economics 1 Folia oeconomica Stetinensia : FOS 1 International Journal of Artificial Life Research (IJALR) 1 Journal of modelling in management 1 Renewable Energy 1 Risks 1 Risks : open access journal 1 Theoretical economics letters 1
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Source
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ECONIS (ZBW) 5 RePEc 3 EconStor 1 Other ZBW resources 1
Showing 1 - 10 of 10
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Modeling the yield curve of BRICS countries: Parametric vs. machine learning techniques
Castello, Oleksandr; Resta, Marina - In: Risks 10 (2022) 2, pp. 1-18
-Ferreira five-factor model with time-varying decay parameters and a Feed-Forward Neural Network to the bond market data of the BRICS …
Persistent link: https://www.econbiz.de/10013200927
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Modeling the yield curve of BRICS countries : parametric vs. machine learning techniques
Castello, Oleksandr; Resta, Marina - In: Risks : open access journal 10 (2022) 2, pp. 1-18
-Ferreira five-factor model with time-varying decay parameters and a Feed-Forward Neural Network to the bond market data of the BRICS …
Persistent link: https://www.econbiz.de/10013093028
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Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario
Shahi, Shashi K.; Dia, Mohamed; Yan, Peizhi; Choudhury, … - In: Journal of modelling in management 17 (2022) 2, pp. 788-811
Persistent link: https://www.econbiz.de/10013362644
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Neural nets for stock indices : investigating effect of change in hyperparameters
Agarwal, Sonali; Khan, Jwaad Akhtar - In: Theoretical economics letters 9 (2019) 3, pp. 511-529
Persistent link: https://www.econbiz.de/10012395484
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Performance Evaluation of Feed-Forward Neural Network Models for Handwritten Hindi Characters with Different Feature Extraction Methods
Singh, Gunjan; Kumar, Sandeep; Singh, Manu Pratap - In: International Journal of Artificial Life Research (IJALR) 7 (2017) 2, pp. 38-57
Automatic handwritten character recognition is one of the most critical and interesting research areas in domain of pattern recognition. The problem becomes more challenging if domain is handwritten Hindi character as Hindi characters are cursive in nature and demonstrate a lot of similar...
Persistent link: https://www.econbiz.de/10012042919
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Integrated model of demand for telephone services in terms of microeconometrics
Kaczmarczyk, Paweł - In: Folia oeconomica Stetinensia : FOS 16 (2016) 2, pp. 72-83
Persistent link: https://www.econbiz.de/10011774149
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A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean; Zhao, Yang; Tang, Ling - In: Energy Economics 46 (2014) C, pp. 236-245
Due to the complexity of crude oil price series, traditional statistics-based forecasting approach cannot produce a good prediction performance. In order to improve the prediction performance, a novel compressed sensing based learning paradigm is proposed through integrating compressed sensing...
Persistent link: https://www.econbiz.de/10011115919
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A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean; Zhao, Yang; Tang, Ling - In: Energy economics 46 (2014), pp. 236-245
Persistent link: https://www.econbiz.de/10011298594
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Generalized feed-forward based method for wind energy prediction
Celik, Ali N.; Kolhe, Mohan - In: Applied Energy 101 (2013) C, pp. 582-588
Even though a number of new mathematical functions have been proposed for modeling wind speed probability density distributions, still the Weibull function continues to be the most commonly used model in the literature. Therefore, the parameters of this function are still widely used to obtain...
Persistent link: https://www.econbiz.de/10010594043
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Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Guo, Zhenhai; Zhao, Weigang; Lu, Haiyan; Wang, Jianzhou - In: Renewable Energy 37 (2012) 1, pp. 241-249
In this paper, a modified EMD-FNN model (empirical mode decomposition (EMD) based feed-forward neural network (FNN …
Persistent link: https://www.econbiz.de/10010804000
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