Influence of random topology in artificial neural networks: A survey

• Main Authors: Sara Kaviani, Insoo Sohn
• Format: Article
• Language: English
• Published: Elsevier 2020-06-01
• Series: ICT Express
• Subjects: Complex systems; Artificial neural networks; Random networks
• Online Access: http://www.sciencedirect.com/science/article/pii/S2405959519304308

Due to the fully-connected complex structure of Artificial Neural Networks (ANNs), systems based on ANN may consume much computational time, energy and space. Therefore, intense research has been recently centered on changing the topology and design of ANNs to obtain high performance. To explore the influence of network structure on ANNs complex systems topologies have been applied in these networks to have more efficient and less complex structures while they are more similar to biological systems at the same time. In this paper, the methodology and results of some recent papers are summarized and discussed in which the authors investigated the efficacy of random complex networks on the performance of Hopfield associative memory and multi-layer ANNs compared with ANNs with small-world, scale-free and regular structures.