Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units

Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units

Predicting the origin-destination (OD) probability distribution of agent transfer is an important problem for managing complex systems. However, prediction accuracy of associated statistical estimators suffer from underdetermination. While specific techniques have been proposed to overcome this defi...

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書目詳細資料
Main Authors:	Saw, Vee-Liem, Vismara, Luca, Suryadi, Yang, Bo, Johansson, Mikael, Chew, Lock Yue
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2023
主題:	Science::Physics Deep Neural Network Gated Recurrent Unit Network
在線閱讀:	https://hdl.handle.net/10356/169226
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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