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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246734
Abstract: Neural networks are mathematical models that use learning algorithms inspired by the brain to store information. These networks have been extensively used to operate cognitive functions, robustness, fault tolerance, flexibility, collective computation, and ability to…
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Keywords:
index;
neural networks;
networks applications;
network ... See more keywords
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Published in 2019 at "Filomat"
DOI: 10.2298/fil1919453h
Abstract: The Mostar index of a graph G is defined as the sum of absolute values of the differences between nu and nv over all edges uv of G, where nu and nv are respectively, the…
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Keywords:
index;
mostar index;
number;
trees parameters ... See more keywords
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Published in 2024 at "Filomat"
DOI: 10.2298/fil2417291h
Abstract: For a graph G, the Mostar index of G is the sum of |nu-nv| over all edges e = uv of G, where nu denotes the number of vertices of G that have a smaller…
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Keywords:
mostar index;
bound mostar;
lower bound;
graphs ... See more keywords
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Published in 2024 at "Axioms"
DOI: 10.3390/axioms13080519
Abstract: Let G be a simple connected graph with edge set E(G) and vertex set V(G). The weighted Mostar index of a graph G is defined as w+Mo(G)=∑e=uv∈E(G)(dG(u)+dG(v))|nu(e)−nv(e)|, where nu(e) denotes the number of vertices closer…
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Keywords:
mostar index;
bicyclic graphs;
extremal weighted;
weighted mostar ... See more keywords