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

• المؤلفون الرئيسيون: Saw, Vee-Liem, Vismara, Luca, Suryadi, Yang, Bo, Johansson, Mikael, Chew, Lock Yue
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Physics; Deep Neural Network; Gated Recurrent Unit Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169226
• المؤسسة: Nanyang Technological University

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...