High precision reconstruction of silicon photonics chaos with stacked CNN-LSTM neural networks.

Cheng, Wei; Feng, Junbo; Wang, Yan; Peng, Zheng; Cheng, Hao; Ren, Xiaodong; Shuai, Yubei; Zang, Shengyin; Liu, Hao; Pu, Xun; Yang, Junbo; Wu, Jiagui

Cheng, Wei; Feng, Junbo; Wang, Yan; Peng, Zheng; Cheng, Hao; Ren, Xiaodong; Shuai, Yubei; Zang, Shengyin; Liu, Hao; Pu, Xun; Yang, Junbo; Wu, Jiagui.

Afiliação

Cheng W; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Feng J; United Microelectronics Center Co., Ltd, Chongqing 401332, China.
Wang Y; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Peng Z; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Cheng H; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Ren X; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Shuai Y; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Zang S; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Liu H; College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Pu X; College of Computer & Information Science, Southwest University, Chongqing 400715, China.
Yang J; Center of Material Science, National University of Defense Technology, Changsha 410073, China.
Wu J; School of Physical Science and Technology, Southwest University, Chongqing 400715, China.

Chaos ; 32(5): 053112, 2022 May.

Article em En | MEDLINE | ID: mdl-35649979

Assuntos

Óptica e Fotônica; Silício; Memória de Longo Prazo; Redes Neurais de Computação

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Silício / Óptica e Fotônica Idioma: En Revista: Chaos Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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