كتاب إلكتروني
Applying LSTM Recurrent Neural Networks to Predict Revenue
العنوان: | Applying LSTM Recurrent Neural Networks to Predict Revenue |
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المؤلفون: | Cardoso, Luis Eduardo PelinAff30, Aff32, de Carvalho, André C. P. de Leon F.Aff31, Quiles, Marcos G.Aff32 |
المساهمون: | Hartmanis, Juris, Founding EditorAff1, van Leeuwen, Jan, Series EditorAff2, Hutchison, David, Editorial Board MemberAff3, Kanade, Takeo, Editorial Board MemberAff4, Kittler, Josef, Editorial Board MemberAff5, Kleinberg, Jon M., Editorial Board MemberAff6, Kobsa, Alfred, Series EditorAff7, Mattern, Friedemann, Editorial Board MemberAff8, Mitchell, John C., Editorial Board MemberAff9, Naor, Moni, Editorial Board MemberAff10, Nierstrasz, Oscar, Series EditorAff11, Pandu Rangan, C., Editorial Board MemberAff12, Sudan, Madhu, Series EditorAff13, Terzopoulos, Demetri, Editorial Board MemberAff14, Tygar, Doug, Editorial Board MemberAff15, Weikum, Gerhard, Series EditorAff16, Vardi, Moshe Y, Series EditorAff17, Goos, Gerhard, Founding EditorAff18, Bertino, Elisa, Editorial Board MemberAff19, Gao, Wen, Editorial Board MemberAff20, Steffen, Bernhard, Editorial Board MemberAff21, Yung, Moti, Editorial Board MemberAff22, Woeginger, Gerhard, Editorial Board MemberAff23, Gervasi, Osvaldo, editorAff24, Murgante, Beniamino, editorAff25, Garau, Chiara, editorAff26, Taniar, David, editorAff27, C. Rocha, Ana Maria A., editorAff28, Faginas Lago, Maria Noelia, editorAff29 |
المصدر: | Computational Science and Its Applications – ICCSA 2024 : 24th International Conference, Hanoi, Vietnam, July 1–4, 2024, Proceedings, Part II. 14814:198-212 |
قاعدة البيانات: | Springer Nature eBooks |
ردمك: | 9783031646072 9783031646089 |
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DOI: | 10.1007/978-3-031-64608-9_13 |