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  • Search: subject:"Backpropagation algorithm"
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Year of publication
Subject
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Theorie 3 Theory 3 Algorithm 2 Algorithmus 2 Artificial intelligence 2 Backpropagation Algorithm 2 Backpropagation algorithm 2 Künstliche Intelligenz 2 Learning process 2 Lernprozess 2 Mathematical programming 2 Mathematische Optimierung 2 Neural networks 2 Neuronale Netze 2 Artificial Neural Network 1 Artificial neural networks 1 Automatic differentiation 1 Basis Function 1 Cargo shipping 1 Character Recognition 1 Clarke subdifferential 1 Deep Learning 1 Definable sets 1 Denial of Service 1 Diebold-Mariano test 1 Feature Extraction 1 Feed-Forward Neural Network 1 First order methods 1 Forecast 1 Forecast performance 1 Forecasting model 1 Frachtrate 1 Frachtschifffahrt 1 Freight rate 1 Fuzzy Logic 1 Intrusion Detection System (IDS) 1 KDD Cup 99 Dataset 1 Nonsmooth stochastic optimization 1 Ocean freight rates 1 Pattern Classification 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 5 Undetermined 1
Author
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Baestaens, Dirk Emma 1 Bergh, Willem Max Van Den 1 Bolte, Jérôme 1 Dixit, Mrudul 1 Kumar, Sandeep 1 Maculan F., Nelson 1 Miguez, Geraldo 1 Munim, Ziaul Haque 1 Pauwels, Edouard 1 Schramm, Hans-Joachim 1 Singh, Gunjan 1 Singh, Manu Pratap 1 Ukarande, Rajashwini 1 Vaudrey, Herve 1 Xavier, Adilson Elias 1
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Published in...
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International Journal of Artificial Life Research (IJALR) 1 International Journal of Synthetic Emotions (IJSE) 1 International transactions in operational research : ITOR ; a journal of the International Federation of Operational Research Societies (IFORS) 1 Maritime economics & logistics 1 The European Journal of Finance 1 Working papers / TSE : WP 1
Source
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ECONIS (ZBW) 3 Other ZBW resources 2 RePEc 1
Showing 1 - 6 of 6
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Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
Bolte, Jérôme; Pauwels, Edouard - 2019
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012182324
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Forecasting container freight rates for major trade routes : a comparison of artificial neural networks and conventional models
Munim, Ziaul Haque; Schramm, Hans-Joachim - In: Maritime economics & logistics 23 (2021) 2, pp. 310-327
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012548014
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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://ebvufind01.dmz1.zbw.eu/10012042919
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Network Traffic Intrusion Detection System Using Fuzzy Logic and Neural Network
Dixit, Mrudul; Ukarande, Rajashwini - In: International Journal of Synthetic Emotions (IJSE) 8 (2017) 1, pp. 1-17
Intrusion Detection System (IDS) are actively used to identify any unusual activities in a network. To improve the effectiveness of IDS, security experts have embedded their extensive knowledge with the use of fuzzy logic, neuro-fuzzy, neural network and other such AI techniques. This article...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012047565
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An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm
Miguez, Geraldo; Xavier, Adilson Elias; Maculan F., Nelson - In: International transactions in operational research : … 21 (2014) 5, pp. 835-854
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010413600
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Options as a predictor of common stock price changes
Baestaens, Dirk Emma; Bergh, Willem Max Van Den; … - In: The European Journal of Finance 1 (1995) 4, pp. 325-343
Since rather novel techniques such as neural nets allow investigation of nonlinear model specification previously untested, it may be that traditional models of price formation underperform through misspecification rather than market efficiency. This paper explores whether a multilayer...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10009276893
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