THE APPLICATION OF NEURAL NETWORKS MATHEMATICAL TOOLS FOR MEASUREMENT OF SUBJECTIVE WELL-BEING

PII
S042473880000616-6-1
DOI
10.31857/S0000616-6-1
Publication type
Article
Status
Published
Authors
Volume/ Edition
Volume 50 / Issue 2
Pages
88-95
Abstract

This article presents the method of calculating an indicator of public well-being. The indicator is based on the model of needs satisfaction. The model is created by using the tools of artifi cial neural networks. Also the main results of preliminary research are given.

Keywords
needs, well-being, aggregated welfare indicator, A. Maslow classifi cation of needs, artifi cial neural networks
Date of publication
01.04.2014
Number of purchasers
1
Views
830

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