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Price Rigidity and Strategic Uncertainty An Agent-based Approach
Somogyi, Róbert; Vincze, János - 2011
agent-based models, by modelling firms that change their pricing strategies following an evolutionary algorithm. Our results …
Persistent link: https://www.econbiz.de/10010494473
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An Evolutionary Algorithm for the Estimation of Threshold Vector Error Correction Models
El-Shagi, Makram - 2010
We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two …Im vorliegenden Papier wird ein evolutionärer Algorithmus zur Schätzung von Threshold … der genauen Problemstruktur kann der zu diesem Zweck im vorliegenden Papier vorgeschlagene Algorithmus 90 bis 99 Prozent …
Persistent link: https://www.econbiz.de/10010271414
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Genetic algorithms for inventory constrained scheduling on a single machine
Briskorn, Dirk; Choi, Byung-Cheon; Lee, Kangbok; Leung, … - 2009
genetic algorithm framework to tackle them. The focus is on discussion of different representations with respect to redundancy …
Persistent link: https://www.econbiz.de/10011558720
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Solving the bi-level problem of a closed optimization of electricity price zone configurations using a genetic algorithm
Felling, Tim - 2019
algorithm. Resulting price zone configurations are compared to both exogenously given, expert-based price zone configurations … from the Entso-E bidding zone study and endogenously assessed configurations from a hierarchical cluster algorithm. Results … show that the genetic algorithm achieves best results in terms of system costs. Moreover, the comparison with solutions …
Persistent link: https://www.econbiz.de/10012042075
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Deepfakes - Wenn wir unseren Augen und Ohren nicht mehr trauen können: Medienmanipulationen im Konflikt. Herausforderungen und Bewältigungsstrategien
Kleemann, Aldo - 2023
Täuschung und Medienmanipulation sind seit jeher fester Bestandteil der Kriegskommunikation. Nie zuvor aber war es derart einfach, qualitativ hochwertige Fäl­schungen von Ton-, Bild- und Videoaufzeichnungen zu erstellen. Die menschliche Neigung, emotional auf diese Medien zu reagieren,...
Persistent link: https://www.econbiz.de/10014431770
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Entwicklung eines KI-gestützten Konzepts zur Bewertung und Optimierung der Transportplanungsqualität für die Stahl- und Metalllogistik am Beispiel eines branchen-spezifischen Handelsunternehmens
Dürrholz, Philipp; FOM Hochschule für Oekonomie & … - 2023
In dem vorliegenden Beitrag wurde ein auf Künstliche Intelligenz gestütztes Kon- zept zur Bewertung und Optimierung der Transportplanungsqualität für die Stahl- und Metalllogistik ausgearbeitet und seine Praktikabilität mithilfe methodischer Untersuchungen nachgewiesen. Somit soll die...
Persistent link: https://www.econbiz.de/10014377042
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Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Tercan, Hasan; Meisen, Tobias - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 1879-1905
With the ongoing digitization of the manufacturing industry and the ability to bring together data from manufacturing processes and quality measurements, there is enormous potential to use machine learning and deep learning techniques for quality assurance. In this context, predictive quality...
Persistent link: https://www.econbiz.de/10015209716
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AI-based neural network models for bus passenger demand forecasting using smart card data
Liyanage, Sohani; Abduljabbar, Rusul; Dia, Hussein; … - In: Journal of Urban Management 11 (2022) 3, pp. 365-380
Accurate short-term forecasting of public transport demand is essential for the operation of on-demand public transport. Knowing where and when future demands for travel are expected allows operators to adjust timetables quickly, which helps improve service quality and reliability and attract...
Persistent link: https://www.econbiz.de/10014285701
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Modeling organizational performance with machine learning
Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19
algorithm and the machine learning method of Bayesian additive regression trees (BART), are used to model the importance of each …
Persistent link: https://www.econbiz.de/10014329677
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Deepfakes - When we can no longer believe our eyes and ears: Media manipulation in conflict. Challenges and responses
Kleemann, Aldo - 2023
Deception and media manipulation have always been an integral part of wartime propaganda. But never before has it been so easy to create high-quality fabrications of images as well as sound and video recordings. The tendency to react emotionally to these media opens up a whole new possibility...
Persistent link: https://www.econbiz.de/10014431711