Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix (2013)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN.2013.6706846
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2013
- ISBN: 9781467361293
- Source:
- Título do periódico: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SOUSA, Fabiano Berardo de e LIANG, Zhao. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/IJCNN.2013.6706846. Acesso em: 19 abr. 2024. -
APA
Sousa, F. B. de, & Liang, Z. (2013). Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2013.6706846 -
NLM
Sousa FB de, Liang Z. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix [Internet]. Proceedings. 2013 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706846 -
Vancouver
Sousa FB de, Liang Z. Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix [Internet]. Proceedings. 2013 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IJCNN.2013.6706846 - Redes de elementos complexos para processamento de informação
- Structural outlier detection: a tourist walk approach
- Network-based high level data classification
- Uncovering overlapping structures via stochastic competitive learning
- Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
- Enhancing weak signal transmission through a feedforward network
- Multiple images set classification via network modularity
- Classification of multiple observation sets via network modularity
- Particle competition and cooperation in networks for semi-supervised learning with concept drift
- Aprendizado de máquina em redes complexas
Informações sobre o DOI: 10.1109/IJCNN.2013.6706846 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
