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  • Search: subject_exact:"Neuronale Netze"
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Year of publication
Subject
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Neuronale Netze 4,890 Neural networks 4,833 Theorie 2,576 Theory 2,554 Prognoseverfahren 1,976 Forecasting model 1,961 Künstliche Intelligenz 1,163 Artificial intelligence 1,151 Zeitreihenanalyse 450 Time series analysis 435 Prognose 334 Forecast 310 Neuronales Netz 305 neural networks 292 Lernprozess 291 Learning process 290 Algorithmus 288 Algorithm 286 Regressionsanalyse 265 Regression analysis 261 Schätzung 246 Estimation 245 Börsenkurs 217 Share price 214 Schätztheorie 206 Estimation theory 202 Machine learning 202 machine learning 199 Portfolio selection 196 Portfolio-Management 196 Mathematical programming 193 Mathematische Optimierung 193 Volatilität 193 Fuzzy sets 192 Fuzzy-Set-Theorie 192 Volatility 191 Data Mining 174 Finanzmarkt 166 Wechselkurs 163 Financial market 161
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Online availability
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Free 1,614 Undetermined 1,595 CC license 319
Type of publication
All
Article 3,401 Book / Working Paper 1,681 Journal 1
Type of publication (narrower categories)
All
Article in journal 2,940 Aufsatz in Zeitschrift 2,940 Graue Literatur 479 Non-commercial literature 479 Working Paper 479 Arbeitspapier 439 Aufsatz im Buch 390 Book section 390 Hochschulschrift 190 Thesis 152 Dissertation u.a. Prüfungsschriften 66 Bibliografie enthalten 51 Bibliography included 51 Collection of articles of several authors 40 Sammelwerk 40 Aufsatzsammlung 33 Conference paper 28 Konferenzbeitrag 28 Konferenzschrift 23 Lehrbuch 13 Conference proceedings 12 Case study 11 Fallstudie 11 Textbook 10 Forschungsbericht 7 Systematic review 6 Übersichtsarbeit 6 Collection of articles written by one author 5 Sammlung 5 Glossar enthalten 4 Glossary included 4 Amtliche Publikation 2 Amtsdruckschrift 2 Article 2 Bibliografie 2 CD-ROM, DVD 2 Elektronischer Datenträger 2 Government document 2 Handbook 2 Handbuch 2
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Language
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English 4,539 German 459 Undetermined 43 Spanish 21 French 11 Italian 6 Russian 3 Czech 2 Polish 2 Portuguese 2 Dutch 1 Slovak 1 Slovenian 1 Swedish 1
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Author
All
Nijkamp, Peter 31 Medeiros, Marcelo C. 30 Kapetanios, George 29 Reggiani, Aura 28 White, Halbert 21 Fischer, Manfred M. 20 Dijk, Herman K. van 18 Teräsvirta, Timo 18 Blake, Andrew P. 17 May, Constantin 17 Anders, Ulrich 16 Lopez de Prado, Marcos 16 Hruschka, Harald 15 Baetge, Jörg 14 Binner, Jane M. 14 Kaashoek, Johan F. 14 Mettenheim, Hans-Jörg von 14 Wiedmann, Klaus-Peter 14 Ślepaczuk, Robert 14 Corsten, Hans 13 Dunis, Christian 13 Wang, Shouyang 13 Wüthrich, Mario V. 13 Breitner, Michael H. 12 Gottschling, Andreas 12 McNelis, Paul D. 12 Tsionas, Efthymios G. 12 Claveria, Oscar 11 Giovanis, Eleftherios 11 McAleer, Michael 11 Patuelli, Roberto 11 Sermpinis, Georgios 11 Torra, Salvador 11 Wanke, Peter 11 Wuthrich, Mario V. 11 Xu, Xiaojie 11 Zhang, Yun 11 Buckler, Frank 10 Fernández-Villaverde, Jesús 10 Franses, Philip Hans 10
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Institution
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IGI Global 14 National Bureau of Economic Research 8 Econometrisch Instituut <Rotterdam> 4 Ekonomiska forskningsinstitutet <Stockholm> 4 Queen Mary College / Department of Economics 4 Universität Kaiserslautern / Lehrstuhl für Produktionswirtschaft 4 Centre of Financial Studies 3 National Institute of Economic and Social Research 3 Pontifícia Universidade Católica do Rio de Janeiro / Departamento de Economia 3 Gottfried Wilhelm Leibniz Universität Hannover 2 Institut für Höhere Studien 2 Institut für Wirtschaftsinformatik, Wirtschaftswissenschaftliche Fakultät 2 International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2 Karlsruher Ökonometrie-Workshop <4, 1993, Karlsruhe> 2 Karlsruher Ökonometrie-Workshop <7, 1999, Karlsruhe> 2 Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse 2 University of Cambridge / Department of Applied Economics 2 Universität Regensburg / Wirtschaftswissenschaftliche Fakultät 2 Verlag Dr. Kovač 2 AE <2005, Lille> 1 Albit GmbH <Mülheim an der Ruhr> 1 Albit-Beratungsgesellschaft für Neue Softwaretechnologien <Mülheim an der Ruhr> 1 Arbeitsgemeinschaft Fuzzy-Logik und Soft Computing Norddeutschland 1 Center for Economic Research <Tilburg> 1 Earth Observation Sciences Ltd. <Farnham> 1 Eberhard Karls Universität Tübingen 1 Eidgenössische Technische Hochschule Zürich 1 European Commission / Directorate-General for Research and Innovation 1 EvoFIN <1, 2007, Valencia> 1 EvoFIN <2, 2008, Neapel> 1 Finansovyj Universitet 1 Fraunhofer-Institut für Systemtechnik und Innovationsforschung 1 Goethe-Universität Frankfurt am Main 1 Hochschule Anhalt (FH) 1 Hochschule Wismar 1 Hochschule für Wirtschaft FHNW / Institut für Wirtschaftsinformatik 1 Institut für Sozialforschung <Stuttgart> / Abteilung Mikroökonomik 1 Instituto Valenciano de Investigaciones Económicas 1 International Conference on Artificial Intelligence <2003, Las Vegas, Nev.> 1 International Conference on Collaborative Innovation Networks (COINs) <8., 2018, Suzhou> 1
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Published in...
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International journal of production research 82 International journal of forecasting 78 Computational economics 72 Journal of forecasting 70 Risks : open access journal 49 European journal of operational research : EJOR 48 Decision analytics journal 44 Journal of risk and financial management : JRFM 39 Quantitative finance 38 Europäische Hochschulschriften / 5 34 Technological forecasting & social change : an international journal 32 Computer Science Preprint Archive 29 Journal of information & knowledge management : JIKM 28 Energy economics 27 International journal of networking and virtual organisations : IJNVO 23 International journal of business information systems : IJBIS 22 International journal of production economics 22 Finance research letters 20 International Journal of Energy Economics and Policy : IJEEP 20 Computers & operations research : and their applications to problems of world concern ; an international journal 19 Technology audit and production reserves 19 Working papers 19 Financial innovation : FIN 18 Journal of retailing and consumer services 18 Research in international business and finance 18 International journal of productivity and quality management : IJPQM 17 Applications of artificial intelligence in finance and economics 16 Journal of economic dynamics & control 16 Working paper 16 Discussion paper / Tinbergen Institute 15 Intelligent systems in accounting finance and management : international journal 15 Journal of business research : JBR 15 Journal of econometrics 15 Journal of modelling in management 15 Journal of the Operational Research Society 15 Discussion paper 14 Discussion papers / CEPR 14 The European journal of finance 14 Digital finance : smart data analytics, investment innovation, and financial technology 13 European research studies 13
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Source
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ECONIS (ZBW) 4,885 USB Cologne (EcoSocSci) 145 EconStor 45 OLC EcoSci 3 RePEc 3 BASE 2
Showing 1 - 50 of 5,083
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Thinking with many minds : using large language models for multi-perspective problem-solving
Park, Sanghyun; Maciejovsky, Boris; Puranam, Phanish - 2025
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Convolutional neural networks: key components and architectures
Fischer, Manfred M. - 2025
Convolutional Neural Networks (CNNs) are a specialized class of deep neural networks tailored for processing high-dimensional data, excelling in tasks like image classification, object detection, and facial recognition. Their architecture is built on convolutional layers interspersed with...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015193130
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Does money matter for predicting overall prices in Albania? : an analysis with recurrent neural network
Vika, Blerina; Vika, Ilir; Xhaja, Denada - 2025
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Estimating parameters of structural models using neural networks
Wei, Yanhao; Jiang, Zhenling - In: Marketing science 44 (2025) 1, pp. 102-128
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015197209
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Predicting the length-of-stay of pediatric patients using machine learning algorithms
Boff Medeiros, Natália; Fogliatto, Flavio Sanson; … - In: International journal of production research 63 (2025) 2, pp. 483-496
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Estimating nonlinear heterogeneous agent models with neural networks
Kase, Hanno; Melosi, Leonardo; Rottner, Matthias - 2025
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Heterogeneity, climate change, and crop yield distributions : solvency implications for publicly subsidized crop insurance programs
Schuurman, Daniel; Ker, Alan P. - In: American journal of agricultural economics 107 (2025) 1, pp. 248-268
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A hybrid model of machine learning for classifying household water-consumption behaviors
Wang, Miao; Li, Zonghan; Liu, Yi; Lin, Lu; Wang, Chunyan - In: Cleaner and responsible consumption 16 (2025), pp. 1-10
Classifying household water-consumption behaviors is crucial for providing targeted suggestions for water-saving behaviors and enabling effective resource management and conservation. Although it is common knowledge that energy consumption is closely coupled with household water consumption, the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015393861
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Importance sampling for option pricing with feedforward neural networks
Arandjelović, Aleksandar; Rheinländer, Thorsten; … - In: Finance and stochastics 29 (2025) 1, pp. 97-141
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Predicting bank distress in Europe : using machine learning and a novel definition of distress
Malikkidou, Despo; Strohbach, Wolfgang - 2025
This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015185208
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Robust portfolio selection under model ambiguity using deep learning
Miri, Sadegh; Salavati, Erfan; Shamsi, Mostafa - 2025
In this study, we address the ambiguity in portfolio optimization, particularly focusing on the uncertainty related to the statistical parameters governing asset returns. We propose a novel method that combines robust optimization with artificial neural networks (ANNs). Our approach effectively...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338300
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Combining convolution neural networks with long-short term memory layers to predict Parkinson's disease progression
Frasca, Maria; La Torre, Davide; Pravettoni, Gabriella; … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2159-2188
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338338
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Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values
Ergenç, Cansu; Aktaş, Rafet - In: Financial internet quarterly 21 (2025) 1, pp. 42-66
This study examines the application of machine learning models to predict financial performance in various sectors, using data from 21 companies listed in the BIST100 index (2013-2023). The primary objective is to assess the potential of these models in improving financial forecast accuracy and...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015393631
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Deep neural network model enhanced with data preparation for the directional predictability of multi-stock returns
Samak Boonpan; Weerachai Sarakorn - In: Journal of open innovation : technology, market, and … 11 (2025) 1, pp. 1-15
This study presents novel deep neural networks (DNNs) that integrate a thorough data preparation process, including dollar bar sampling, trend scanning labeling, and piecewise aggregate approximation (PAA), to extract features for predicting the directional returns of leading technology stocks...
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Decision-focused neural adaptive search and diving for optimizing mining complexes
Yaakoubi, Yassine; Dimitrakopoulos, Roussos - In: European journal of operational research : EJOR 320 (2025) 3, pp. 699-719
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Solving economic models with neural networks without backpropagation
Pascal, Julien - 2025
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Short-term multivariate airworthiness forecasting based on decomposition and deep prediction models
Tatli, Ali; Filik, Tansu; Bocu, Erdogan; Karakoc, … - In: Journal of forecasting 44 (2025) 1, pp. 41-58
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Fraud detection at eBay
Rao, Susie Xi; Han, Zhichao; Yin, Hang; Jiang, Jiawei; … - In: Emerging markets review 66 (2025), pp. 1-38
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015412099
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Deep learning of transition probability densities for stochastic asset models with applications in option pricing
Su, Haozhe; Tretyakov, M. V.; Newton, David P. - In: Management science : journal of the Institute for … 71 (2025) 4, pp. 2922-2952
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015413694
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Rating the impact of risks in banking on performance : utilizing the adaptive neural network-based fuzzy inference system (ANFIS)
Mehdi, Riyadh; Ahmed, Ibrahim El Siddig; Mohamed, Elfadil A. - In: Risks : open access journal 13 (2025) 5, pp. 1-23
This study aims to rate the impact of the three major risks (credit, capital adequacy, and liquidity) on three financial performance measures (return on equity (ROE), earnings per share (EPS), and price-earnings ratio (PER)). This study stands out as one of the few in its field, and the only one...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015409029
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A neural network approach for pricing correlated health risks
Laporta, Alessandro G.; Levantesi, Susanna; Petrella, Lea - In: Risks : open access journal 13 (2025) 5, pp. 1-28
In recent years, the actuarial literature involving machine learning in insurance pricing has flourished. However, most actuarial machine learning research focuses on property and casualty insurance, while using such techniques in health insurance is yet to be explored. In this paper, we discuss...
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A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency
Ramadan, Saleem; Abu-Shams, Mohammad; Al-Dahidi, Sameer; … - In: Journal of industrial engineering and management : JIEM 18 (2025) 1, pp. 145-166
Purpose: Efficient scheduling in Operating Rooms (ORs) is essential for optimizing corresponding costs and enhancing customer satisfaction in healthcare systems.Design/methodology/approach: Conventional static scheduling methods rely on fixed historical surgery times and often lead to...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015414982
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Predicting trip purpose in a smartphone‐based travel survey
Zahroh, Solichatus; Lugtig, Peter; Gootzen, Yvonne; … - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015417697
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Approximating G(t)/GI/1 queues with deep learning
Sherzer, Eliran; Baron, Opher; Krass, Dmitry; Resheff, … - In: European journal of operational research : EJOR 322 (2025) 3, pp. 889-907
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The energy potential of residual biomass gasification integrated with internal combustion engine in Córdoba, Colombia using artificial neural network techniques
Rhenals-Julio, Jesús D.; Torres, Cristina Cogollo; … - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 1, pp. 274-280
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A systematic review of machine learning for hybrid intelligence in production management
Sauer, Carl René; Burggräf, Peter; Steinberg, Fabian - 2025
The increasing use of intelligent data processing and its capacity to handle vast data sets enhance efficiency and effectiveness in production management. Consequently, machine learning models have become essential for decision-making in this domain. Previous literature reviews have not...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420361
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A predictive analytics framework for forecasting soccer match outcomes using machine learning models
Wong, Albert; Li, Eugene; Le, Huan; Bhangu, Gurbir; … - 2025
Predicting the outcome of a sports game is a favourite pastime for sports fans and researchers. The interest has intensified in recent years due to data availability, the development and successful implementation of machine learning algorithms, and the proliferation of internet gaming. This...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420113
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A graph convolutional network for optimal intelligent predictive maintenance of railway tracks
MajidiParast, Saeed; Neamatian Monemi, Rahimeh; … - 2025
This study presents a prescriptive analytics framework for optimal intelligent predictive maintenance of railway tracks. We use machine learning and Graph Convolutional Networks (GCNs) to optimize the maintenance schedules for railway infrastructure and enhance operational efficiency and safety....
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Learning-to-optimize for consolidation and transshipment in multi-store order delivery
Wang, Xin; Arslan, Okan; Cordeau, Jean-François; … - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015416993
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Simulation of a closed-loop dc-dc converter using a physicsinformed neural network-based model
Coulombe, Marc-Antoine; Berger, Maxime; Lesage-Landry, … - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422760
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Optimising electric vehicle wireless charging systems using neural networks to enable free-position parking
Merrigan, Hannah; Wu, Yu-hsin; Lesage-Landry, Antoine; … - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015339243
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Waiting time estimation for ride-hailing fleets using graph neural networks
Sadid, Hashmatullah - In: Junior management science 10 (2025) 2, pp. 462-490
Ride-hailing services are part of intermodal transport systems, allowing passengers to use various transport modes for their trip. The optimal choice for a request in the intermodal system depends on the passenger's waiting time for the ride-hailing service. Estimating this waiting time is...
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Capturing complex electricity load patterns : a hybrid deep learning approach with proposed external-convolution attention
Zare, Mohammad Sadegh; Nikoo, Mohammad Reza; Chen, Mingjie - In: Energy strategy reviews 57 (2025), pp. 1-15
Short-term electricity load forecasting is a critical factor in optimizing power systems, minimizing operating costs, and securing reliable energy resources. There are various approaches for short-term electricity load forecasting, but handling complex dependencies and sudden changes in load...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015432128
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Enhancing stock price prediction using GANs and transformer-based attention mechanisms
Li, Siyi; Xu, Sijie - In: Empirical economics : a quarterly journal of the … 68 (2025) 1, pp. 373-403
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Artificial neural networks in forecasting the consumer bankruptcy risk with innovative ratios
Korol, Tomasz - In: Contemporary economics 18 (2024) 4, pp. 391-407
This study aims to develop nine different consumer bankruptcy forecasting models with the help of three types of artificial neural networks and to verify the usefulness of new, innovative ratios for implementation in personal finance. A learning sample comprising 200 consumers, and a testing...
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Inverse problem solver for epidemiological geographic profiling
Maeno, Yoshiharu - In: Evolutionary and institutional economics review 21 (2024) 2, pp. 237-248
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Detecting and forecasting financial bubbles in the indian stock market using machine learning models
Manian, Mahalakshmi; Kaya, Parthajit - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015193247
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Neural networks and ARMA-GARCH models for foreign exchange risk measurement and assessment
Nsengiyumva, Elysee; Mung'atu, Joseph K.; Kayijuka, Idrissa - In: Cogent economics & finance 12 (2024) 1, pp. 1-15
Market turnover levels and liquidity changes across various territories significantly influence currency prices, leading to continuous fluctuations. Consequently, traders and investors constantly seek strategies to mitigate exchange rate risks. This study aimed to measure and assess foreign...
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Firm default prediction by GNN with gravity-model informed neighbor node sampling
Minakawa, Naoto; Izumi, Kiyoshi; Murayama, Yuri; … - In: The review of socionetwork strategies 18 (2024) 2, pp. 303-328
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015194246
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Neural network empowered liquidity pricing in a two-price economy under conic finance settings
Michielon, Matteo; Franquinho, Diogo; Gentile, Alessandro; … - In: Quantitative finance 24 (2024) 8, pp. 1129-1156
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Pooling and winsorizing machine learning forecasts to predict stock returns with high-dimensional data
Mekelburg, Erik; Strauss, Jack - In: Journal of empirical finance 79 (2024), pp. 1-25
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015179520
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A hybrid Sobolev gradient method for learning NODEs
Baravdish, George; Eilertsen, Gabriel; Jaroudi, Rym; … - In: Operations research forum 5 (2024) 4, pp. 1-39
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015182020
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Consumer credit risk analysis through artificial intelligence : a comparative study between the classical approach of logistic regression and advanced machine learning techniques
El Khair Ghoujdam, Mousaab; Chaâbita, Rachid; … - In: Cogent economics & finance 12 (2024) 1, pp. 1-14
This research article presents a comparative analysis between logistic regression as a traditional method, artificial neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines and evaluates these three methods, elucidating their...
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Inference for regression with variables generated by AI or machine learning
Battaglia, Laura; Christensen, Tim; Hansen, Stephen; … - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015271648
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Optimizing stock market volatility predictions based on the SMVF-ANP approach
Guan, Zhigui; Zhao, Yuanjun - In: International review of economics & finance : IREF 95 (2024), pp. 1-15
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Machine learning in portfolio decisions
Guidolin, Massimo; Panzeri, Giulia; Pedio, Manuela - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015145606
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Adapting support vector optimisation algorithms to textual gender classification
Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488
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Tuning parameters of deep neural network training algorithms pays off : a computational study
Coppola, Corrado; Papa, Lorenzo; Boresta, Marco; … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 579-620
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Analysing the influence of augmented reality on organization performance via supply and logistics value chain functions : a hybrid ANN-PLS model assessment in the Gulf Cooperation Council region
Aburayya, Ahmad - In: Logistics 8 (2024) 4, pp. 1-20
Background: Despite the resurgence of interest in augmented reality (AR) due to Industry 4.0 and its ability to resolve several challenges faced by current business models, comprehensive research examining the capabilities of AR in supply chain management (SCM) and logistics remains limited....
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Scenario selection with LASSO regression for the valuation of variable annuity portfolios
Nguyen, Hang; Sherris, Michael; Villegas, Andrés M.; … - In: Insurance : mathematics and economics 116 (2024), pp. 27-43
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