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  • Search: subject:"Activation Function"
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Year of publication
Subject
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Neural networks 12 Neuronale Netze 12 Activation function 7 Theorie 7 Theory 7 Artificial intelligence 5 Forecasting model 5 Künstliche Intelligenz 5 Mathematical programming 5 Mathematische Optimierung 5 Prognoseverfahren 5 Activation Function 4 Algorithm 4 Algorithmus 4 Learning process 4 Lernprozess 4 Artificial neural network 3 Estimation theory 3 Schätztheorie 3 activation function 3 Back propagation 2 Crude oil price forecasting 2 Epoch 2 Harr a Trous wavelet 2 Hidden Layer 2 In-sample out-of-sample basis 2 Neural network 2 ReLU activation function 2 Regression analysis 2 Regressionsanalyse 2 machine learning 2 APTx activation function 1 ARCH 1 ARIMA 1 Accounting 1 Adjusted Fit 1 Air transport 1 Aktienindex 1 Aktienmarkt 1 Alpha waves 1
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Online availability
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Undetermined 8 Free 7 CC license 3
Type of publication
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Article 17 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 14 Aufsatz in Zeitschrift 14 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2
Language
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English 16 Undetermined 2 Spanish 1
Author
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Aloui, Chaker 2 Jammazi, Rania 2 Agarwal, Sonali 1 Al Amin, Abdullah 1 Aladag, Cagdas Hakan 1 Alam, Md Shafiqul 1 Bhatnagar, Shaleen 1 Cao, Jianmin 1 Chen, Feng 1 Chowdhury, Shilpa 1 Chugh, Tarun 1 Czasonis, Megan 1 Deb, Jayanta Bhusan 1 Deng, Chunning 1 Ettaouil, Mohamed 1 Fahad, Nur Mohammad 1 Gao, Jiti 1 Ghanou, Youssef 1 Gkonis, Vasileios 1 Gupta, Sanjeev 1 Hanne, Thomas 1 Jain, Shruti 1 Janati Idrissi, Mohammed Amine 1 Kadilar, Cem 1 Kashyap, Sachin 1 Khan, Jwaad Akhtar 1 Khandelwal, Sarika 1 Kritzman, Mark 1 Li, Chunxu 1 Liao, Minye 1 Lim, Dong-Young 1 Maculan F., Nelson 1 Mamun, Abdullah Al 1 Messner, Wolfgang 1 Miguez, Geraldo 1 Mukta, Md. Saddam Hossain 1 Neufeld, Ariel 1 Peng, Bin 1 Rahman, Md. Anisur 1 Raiaan, Mohaimenul Azam Khan 1
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Published in...
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Computational management science 1 Energy Economics 1 Energy economics 1 International journal of information systems in the service sector : IJISSS ; an official publication of the Information Resources Management Association 1 International journal of innovation & sustainable development : IJISD 1 International journal of quality & reliability management 1 International transactions in operational research : ITOR ; a journal of the International Federation of Operational Research Societies (IFORS) 1 Istanbul University Econometrics and Statistics e-Journal 1 Journal of emerging technologies in Accounting 1 Journal of forecasting 1 Journal of the Operational Research Society 1 Lecturas de Economía 1 Mathematics of operations research 1 Sloan working papers 1 Theoretical economics letters 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
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Source
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ECONIS (ZBW) 16 RePEc 3
Showing 1 - 10 of 19
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Deep dive into churn prediction in the banking sector : the challenge of hyperparameter selection and imbalanced learning
Gkonis, Vasileios; Tsakalos, Ioannis - In: Journal of forecasting 44 (2025) 2, pp. 281-296
Persistent link: https://www.econbiz.de/10015374022
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A transparent alternative to neural networks with an application to predicting volatility
Czasonis, Megan; Kritzman, Mark; Turkington, David - 2024 - This version: September 12, 2024
Persistent link: https://www.econbiz.de/10015101048
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Raiaan, Mohaimenul Azam Khan; Sakib, Sadman; Fahad, Nur … - 2024
Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural advantages. CNN relies heavily on hyperparameter configurations, and manually tuning these hyperparameters can be time-consuming for researchers, therefore we need efficient...
Persistent link: https://www.econbiz.de/10015101999
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An artificial neural network for predicting air traffic demand based on socio-economic parameters
Alam, Md Shafiqul; Deb, Jayanta Bhusan; Al Amin, Abdullah; … - 2024
Over the past five years, emerging economies have consistently progressed toward achieving greater economic independence. The aviation industry has played a significant role in driving this progress. Accurately forecasting the future demand for air travel is crucial for making long-term...
Persistent link: https://www.econbiz.de/10014541528
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A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems
Sun, Yingyi; Cao, Jianmin; Li, Chunxu - In: Journal of the Operational Research Society 74 (2023) 6, pp. 1443-1461
Persistent link: https://www.econbiz.de/10014335398
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A localised neural network with dependent data: estimation and inference
Gao, Jiti; Peng, Bin; Yang, Yanrong - 2023
Persistent link: https://www.econbiz.de/10014452592
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A deep learning approach for assessing stress levels in patients using electroencephalogram signals
Bhatnagar, Shaleen; Khandelwal, Sarika; Jain, Shruti; … - 2023
13-21. The model architecture used in the study is EEGnet, a compact convolutional neural network with a Relu activation … function. We experimented with the mother wavelet decomposition method with 0 to 60 Hz frequency electroencephalogram signals …
Persistent link: https://www.econbiz.de/10014434143
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Support of accounting by bank statement classification using neural networks
Wong, Kit; Hanne, Thomas - In: Journal of emerging technologies in Accounting 22 (2025) 1, pp. 137-152
Persistent link: https://www.econbiz.de/10015427215
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Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient
Lim, Dong-Young; Neufeld, Ariel; Sabanis, Sotirios; … - In: Mathematics of operations research 50 (2025) 3, pp. 2333-2374
Persistent link: https://www.econbiz.de/10015444758
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Research on digital online inspection of product quality in tobacco production enterprises
Chen, Feng; Liao, Minye; Deng, Chunning; Su, Ling - In: International journal of innovation & sustainable … 18 (2024) 5/6, pp. 629-647
Persistent link: https://www.econbiz.de/10015065198
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