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Application of optimized machine learning techniques for prediction of occupational accidents
Sarkar, Sobhan; Vinay, Sammangi; Raj, Rahul; Maiti, J.; … - In: Computers & operations research : and their … 106 (2019), pp. 210-224
Persistent link: https://www.econbiz.de/10012014413
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Evaluating the performance of metaheuristic based artificial neural networks for cryptocurrency forecasting
Behera, Sudersan; Nayak, Sarat; Kumar, A. V. S. Pavan - In: Computational economics 64 (2024) 2, pp. 1219-1258
Persistent link: https://www.econbiz.de/10015078086
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Financial soundness prediction using a multi-classification model : evidence from current financial crisis in OECD banks
Fernández-Arias, D.; López Martín, Ma. del Carmen; … - In: Computational economics 52 (2018) 1, pp. 275-297
Persistent link: https://www.econbiz.de/10012052936
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Supplier selection using artificial neural network and genetic algorithm
Asthana, Nitesh; Gupta, Manish - In: International journal of Indian culture and business … 11 (2015) 4, pp. 457-472
Persistent link: https://www.econbiz.de/10011588628
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Forecasting inflection points : hybrid methods with multiscale machine learning algorithms
Chevallier, Julien; Zhu, Bangzhu; Zhang, Lyuyuan - In: Computational economics 57 (2021) 2, pp. 537-575
Persistent link: https://www.econbiz.de/10012486931
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An efficient FLANN model with CRO-based gradient descent learning for classification
Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116
Persistent link: https://www.econbiz.de/10011520250
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Deep learning-based genetic algorithm for the robust hub allocation problem with discrete scenarios
Berrajaa, Achraf - In: International journal of logistics systems and … 48 (2024) 4, pp. 489-507
Persistent link: https://www.econbiz.de/10015065804
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Natural computing in computational finance : volume 2 ; [the inspiration for this book was due in part to the success of EvoFIN 2008, the 2nd European Workshop on Evolutionary Comp...
Brabazon, Anthony (ed.); O'Neill, Michael (contributor) - 2009
Persistent link: https://www.econbiz.de/10009502677
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Logistics management and optimization through hybrid artificial intelligence systems
Ochoa Ortiz Zezzatti, Carlos Alberto (contributor) - 2012
"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--
Persistent link: https://www.econbiz.de/10009549016
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Hybrid computational models for software cost prediction: an approach using artificial neural networks and genetic algorithms
Papatheocharous, Efi; Andreou, Andreas S. - In: Enterprise information systems : 10th International …, (pp. 87-100). 2009
Persistent link: https://www.econbiz.de/10003844561