Find in Library
Search millions of books, articles, and more
Indexed Open Access Databases
Computing Irregularity Indices for Probabilistic Neural Network
oleh: Shunguang Kang, Yu-Ming Chu, Yu-Ming Chu, Abaid ur Rehman Virk, Waqas Nazeer, Jia Jia
| Format: | Article |
|---|---|
| Diterbitkan: | Frontiers Media S.A. 2020-09-01 |
Deskripsi
A topological index (TI) is a quantity expressed as a number that help us to catch symmetry of network. With the help of quantitative structure property relationship (QSPR), we can guess physical and chemical properties of several networks. A neural network is a computer system based on the nerve system. There are numerous uses of these systems in different fields of studies but their most critical use to date is in Neurochemistry. In this paper, we will discuss thirteen irregularity indices for probabilistic neural networks (PNN).