Vector network system identification

该机器学习项目旨在提供更可靠的方法，从连续和离散的网络数据中识别动态网络的结构和功能。该项目将使用所有数据并创建有原则的新指标。这可以实现对一系列应用的网络故障的早期诊断，例如电力系统或患病的人脑。它还可以发现影响大型复杂人类系统(如金融系统)或自然系统(如基因调控网络)可靠运行的关键功能子网络。

This machine learning project aims to provide more reliable ways to identify the structure and function of dynamic networks from both continuous and discrete network data. The project will use all the data and create principled new metrics. This could enable early diagnosis of network faults across a range of applications for example in power systems or diseased human brains. It could also enable discovery of critical functional subnetworks affecting reliable operation in large complex human systems (such as financial systems) or natural systems (such as gene regulatory networks).