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Titlebook: Engineering Applications of Neural Networks; 24th International C Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis Conference proceedings

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發(fā)表于 2025-3-21 16:16:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Engineering Applications of Neural Networks
副標題24th International C
編輯Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis
視頻videohttp://file.papertrans.cn/311/310713/310713.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Engineering Applications of Neural Networks; 24th International C Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis Conference proceedings
描述This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023..The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on?.?.artificial intelligence - computational methods - ethology; classification - filtering? - genetic algorithms; complex dynamic networks‘ optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning? in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language? - recommendation systems..
出版日期Conference proceedings 2023
關(guān)鍵詞Deep Learning; Adversarial Neural Networks; Convolutional Neural Networks; Generative AI; Recommendation
版次1
doihttps://doi.org/10.1007/978-3-031-34204-2
isbn_softcover978-3-031-34203-5
isbn_ebook978-3-031-34204-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-1-4615-3526-3ated using Kendall’s tau distance and by viewing the problem as a classification into bins. The obtained results were promising, outperforming currently employed engineering practices. They have shown the capabilities and potential of these models in mitigating the effects of earthquakes on society.
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https://doi.org/10.1007/978-3-031-26010-0improve the classification performance, the bases replacements are performed in the layered networks. It is shown the bases replacements in the layered networks improve classification performance in both asymmetric and symmetric networks.
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Ingo Eilks,Gjalt T. Prins,Reuven Lazarowitzonditions. Considering the involved parameters, i.e. transformers, phases, switching possibilities, and operating load, this constitutes a search problem within an available solution set. An optimum solution could be searched for and identified by interchanging the loads. This study aims to develop
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https://doi.org/10.1007/978-1-4615-3526-3 monetary reparations. Thus, it is essential for governments to be able to rank a given population of structures according to their expected degree of damage in an earthquake, in order for them to properly allocate the available resources for prevention. In this paper, the authors present a ranking
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Incipient Pedagogy (II): AIDS Narratives,eech system in the phonation area of the brain. A novel approach to voice rehabilitation consists in predicting the phonetic control by the EMG. In a previous work we demonstrated that the voice-production apparatus (tongue muscle) generates a specific EMG signal that identify the phoneme emitted. T
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