Recurrent Neural Network Based Approach for Solving Groundwater Hydrology Problems


Autoria(s): Silva, Ivan Nunes da; Cagnon, José Ângelo; Saggioro, Nilton José
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/11/2013

18/11/2013

2013

Identificador

Silva, Ivan Nunes da. Cagnon, José Ângelo. Saggioro, Nilton José. Recurrent neural network based approach for solving groundwater hydrology problems. Rijeka, InTech, 2013. cap. 11, p. 225-243. In: Suzuki, Kenji, ed. Artificial neural networks: architectures and applications, Rijeka : InTech, 2013, 256 p. Disponível em: <http://www.intechopen.com/books/artificial-neural-networks-architectures-and-applications/recurrent-neural-network-based-approach-for-solving-groundwater-hydrology-problems>. Acesso em: 26 mar. 2013.

9789535109358

http://www.producao.usp.br/handle/BDPI/43363

http://www.intechopen.com/books/artificial-neural-networks-architectures-and-applications/recurrent-neural-network-based-approach-for-solving-groundwater-hydrology-problems

dx.doi.org/10.57772/51598

Idioma(s)

eng

Publicador

InTech

Rijeka

Relação

Artificial Neural Networks - Architectures and Applications

Direitos

openAccess

InTech

Palavras-Chave #HIDROLOGIA #REDES NEURAIS
Tipo

bookPart