Dominating Topological Analysis and Comparison of the Cellular Neural Network

Farukh Ejaz, Muhammad Hussain, Hamad Almohamedh, Khalid M. Alhamed, Rana Alabdan and Sultan Almotairi

Mathematical Problems in Engineering, 2021, vol. 2021, 1-9

Abstract:

Graph theory is a discrete branch of mathematics for designing and predicting a network. Some topological invariants are mathematical tools for the analysis of connection properties of a particular network. The Cellular Neural Network (CNN) is a computer paradigm in the field of machine learning and computer science. In this article we have given a close expression to dominating invariants computed by the dominating degree for a cellular neural network. Moreover, we have also presented a 3D comparison between dominating invariants and classical degree-based indices to show that, in some cases, dominating invariants give a better correlation on the cellular neural network as compared to classical indices.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6613433

DOI: 10.1155/2021/6613433

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