Further Results on Large-Scale Complex Logical Networks

IEEE Access

Xiaojuan Yang¹  Haitao Li²  Shuling Wang²  Yuna Liu²  Xiangshan Kong² 

[1] School of Education, Shandong Normal University, Jinan, China;School of Mathematics and Statistics, Shandong Normal University, Jinan, China;

关键词: Large-scale system;    complex logical network;    algebraic state space representation;    network aggregation;    approximation;    logical matrix factorization;   

DOI  :  10.1109/ACCESS.2020.3041119

来源: DOAJ

【 摘 要 】

In the past few decades, how to reduce the computational complexity of dealing with k-valued logical networks (LNs) has become a heated research topic. This paper firstly presents a brief survey on the recent efforts of dealing with large-scale LNs, including approximation of LNs, network aggregation approach, and logical matrix factorization technique. Then, by using the network aggregation approach, the stability of large-scale network pairing problem is studied. The network aggregation approach is also used to study probabilistic logical networks (PLNs). Finally, an illustrative example is given to demonstrate the effectiveness of the obtained results.

【 授权许可】

Unknown