Applying LSTM recurrent neural networks to predict revenue (2024)
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES NEURAIS, PREVISÃO DE VENDAS
ABNT
CARDOSO, Luis Eduardo Pelin e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e QUILES, Marcos Gonçalves. Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64608-9_13. Acesso em: 06 jul. 2025. , 2024APA
Cardoso, L. E. P., Carvalho, A. C. P. de L. F. de, & Quiles, M. G. (2024). Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64608-9_13NLM
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13Vancouver
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13