On the topological properties of the certain neural networks

• Autorzy: Liu J.-B. , Zhao J. , Wang S. , Javaid M. , Cao J.

Identyfikatory

DOI

10.1515/jaiscr-2018-0016

• Języki publikacji: EN

Abstrakty

EN

A topological index is a numeric quantity associated with a network or a graph that characterizes its whole structural properties. In [Javaid and Cao, Neural Computing and Applications, DOI 10.1007/s00521-017-2972-1], the various degree-based topological indices for the probabilistic neural networks are studied. We extend this study by considering the calculations of the other topological indices, and derive the analytical closed formulas for these new topological indices of the probabilistic neural network. Moreover, a comparative study using computer-based graphs has been carried out first time to clarify the nature of the computed topological descriptors for the probabilistic neural networks. Our results extend some known conclusions.

Słowa kluczowe

EN

neural network; topological indices; graph theory

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2018
• Tom: Vol. 8, No. 4
• Strony: 257--268
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Liu J.-B.

• School of Mathematics, Southeast University, Nanjing, Jiangsu, 210096, P.R. China

autor

Zhao J.

• School of Mathematics and Physics, Anhui Jianzhu University, Hefei, P.R. China

autor

Wang S.

• Department of Mathematics, Savannah State University, Savannah, GA 31404, USA

autor

Javaid M.

• Department of Mathematics, School of Science, University of Management and Technology, Lahore, Pakistan

autor

Cao J.

• School of Mathematics, Southeast University, Nanjing, Jiangsu, 210096, P.R. China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).