Abstract
A Topological index is a numeric quantity which characterizes the whole structure of a graph. Adriatic indices are also part of topological indices, mainly it is classified into two namely extended variables and discrete adriatic indices, especially, discrete adriatic indices are analyzed on the testing sets provided by the International Academy of Mathematical Chemistry (IAMC) and it has been shown that they have good presaging substances in many compacts. This contrived attention to compute some discrete adriatic indices of probabilistic neural networks.
Highlights
In this work peculiar attention is compensated to Adriatic indices that have been defined by D
The P N N methodology is applicable to classification problems and the basic underlying theory behind these probability-based methods is presented along with applications of the P N N methodology
Let G be the probabilistic neural network P N N (n, k, m) for (n, k, m) ≥ 1, its misbalance deg index, misbalance indeg index, misbalance rodeg index and misbalance irdeg index is given by nkm|km − (n + 1)| + km|(n + 1) − m| for α = 1
Summary
In this work peculiar attention is compensated to Adriatic indices that have been defined by D. We established the degree-based discrete adriatic indices of the probabilistic neural network.
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