Graph theory is a fundamental and energetic tool for designing and modeling a graph/network. There are certain topological indices based on degree, distance and eccentricity, etc. The topological indices essentially relate certain physio-concoction properties and bio-activity to the corresponding synthetic and atomic structure.
In this paper, our aim is to figure out degree-based topological indices mainly atom-bond connectivity (ABC), geometric-arithmetic (GA), ABC4 and GA5 indices for cellular neural network (CNN) and give closed results of these indices for cellular neural network. Moreover, we also compute general Randi index Rα of CNN for only and give analytical closed form results. A 3D graph analysis for comparison of indices is also given.
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