2025-02-23T09:34:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-71770%22&qt=morelikethis&rows=5
2025-02-23T09:34:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-71770%22&qt=morelikethis&rows=5
2025-02-23T09:34:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T09:34:11-05:00 DEBUG: Deserialized SOLR response

Прогнозування конкурентоспроможності продукції за сукупністю показників якості на основі нейромережного моделювання

On the basis of formalization the problem of spatial extrapolation in neural network logical basis the approach to creation neural network models of forecasting of different purpose products competitiveness is offered. The neural network model of expert system for assessment and forecasting of compe...

Full description

Saved in:
Bibliographic Details
Main Authors: Fedin, S. S., Zubretska, N. A., Goncharov, A. S.
Format: Article
Language:rus
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2012
Online Access:http://journal.iasa.kpi.ua/article/view/71770
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:On the basis of formalization the problem of spatial extrapolation in neural network logical basis the approach to creation neural network models of forecasting of different purpose products competitiveness is offered. The neural network model of expert system for assessment and forecasting of competitiveness of the products by the totality of single indicators of quality and price is developed. The practical implementation of model is carried out on the example of the household refrigerators.