Title: Index matrix interpretation of one type of extended neural networks

Authors: Krassimir Atanassov; Sotir Sotirov

Addresses: Asen Zlatarov University – Burgas, 1 'Prof. Yakimov' Blvd, Burgas 8010, Bulgaria; Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgaria ' Asen Zlatarov University – Burgas, 1 'Prof. Yakimov' Blvd, Burgas 8010, Bulgaria

Abstract: Neural networks are a mathematical model for solving problems that uses the structure of the human brain. One of the mostly used kinds of neural networks, the multilayer perceptron (MLP), has been modelled with various tools. In the first model we discussed the MLP, we approached the problem by modelling neural networks in terms of index matrices (IMs). Here we will present index matrix interpretation of the next neural network.

Keywords: index matrix interpretation; extended neural networks; mathematical modelling; multilayer perceptron; MLP; index matrices.

DOI: 10.1504/IJRIS.2014.066246

International Journal of Reasoning-based Intelligent Systems, 2014 Vol.6 No.3/4, pp.93 - 97

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 09 Dec 2014 *

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