Forecasting economic time series using chaotic neural networks (2018)
- Authors:
- Autor USP: ROSA, JOÃO LUIS GARCIA - ICMC
- Unidade: ICMC
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS; ANÁLISE DE SÉRIES TEMPORAIS; ÍNDICE DE PREÇOS AO CONSUMIDOR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
-
ABNT
GONÇALVES, Victor H e ROSA, João Luís Garcia. Forecasting economic time series using chaotic neural networks. 2018, Anais.. Porto Alegre: SBC, 2018. Disponível em: https://bracis2018.mybluemix.net/files/proceedings_eniac2018.pdf. Acesso em: 18 abr. 2024. -
APA
Gonçalves, V. H., & Rosa, J. L. G. (2018). Forecasting economic time series using chaotic neural networks. In Proceedings. Porto Alegre: SBC. Recuperado de https://bracis2018.mybluemix.net/files/proceedings_eniac2018.pdf -
NLM
Gonçalves VH, Rosa JLG. Forecasting economic time series using chaotic neural networks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 18 ] Available from: https://bracis2018.mybluemix.net/files/proceedings_eniac2018.pdf -
Vancouver
Gonçalves VH, Rosa JLG. Forecasting economic time series using chaotic neural networks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 18 ] Available from: https://bracis2018.mybluemix.net/files/proceedings_eniac2018.pdf - Texto sistematizado
- Sendo uma área multidisciplinar, a Inteligência Artificial... [Prefácio]
- Semantic role labeling for Brazilian Portuguese: a benchmark
- A new cognitive filtering approach based on Freeman K3 Neural Networks
- Cognitive clustering algorithm for efficient cybersecurity applications
- Mac-Morpho revisited: towards robust part-of-speech tagging
- Differentiation between normal and epileptic EEG using k-nearest-neighbors technique
- Interfaces cérebro-computador
- Essentials of formal languages and automata
- Fundamentos da inteligência artificial
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
