APPLICATION OF NEURAL NETWORKS FOR PRIOR APPRAISAL OF STRUCTURAL FUNDS PROJECT PROPOSALS

Tadeusz A. Grzeszczyk

2004

Abstract

The subject of present paper is to discuss the layout of conception referred to the use of artificial intelligence methods (neural networks) for prior appraisal of project proposals to be submitted by Polish enterprises to European Union in order to get financial assistance for investments from the EU structural funds and the state budget. The experiments are limited to prior appraisal of the projects submitted only, as their practical execution may begin not earlier than on the 1st May 2004 (enlargement of European Union). Author of the present paper discusses the method referred to appraisal of project proposals submitted by enterprises. The method is related to review and acceptance of expenditures for investments co-financed by European Regional Development Fund. The author formulates conception for implementation of appraisal principles which could be considered as element of review and acceptance of expenditures according to Commission Regulation 1685/2000.

References

  1. European Commission, 2000. Directorate General for Regional Policy and Cohesion. Working paper 1. Vademecum for Structural Funds Plans and Programming Documents. Brussels.
  2. European Commission, 2000. Directorate General for Regional Policy and Cohesion. Working paper 2. The Ex-ante Evaluation of the Structural Funds Interventions. Brussels.
  3. European Commission 2000. Directorate General for Regional Policy and Cohesion. Working paper 3. Indicators for Monitoring and Evaluation: An Indicative Methodology. Brussels.
  4. European Commission, 1999. MEANS Collection. Evaluating Socio-economic Programmes. Volume 1 - 6. Luxemburg.
  5. Grzeszczyk T. A., 2000. Rough Sales Forecasting System. Informations Systems - Research, Teaching and Practice. Proceedings of the 5th UKAIS Conference University of Wales Institute. Cardiff 26 - 28 April 2000.
  6. Grzeszczyk T. A., 2002. Rough Sets Theory for Sales Forecasting System. In: New Challenges And Old Problems In Enterprise Management. Edited by T. Krupa. WNT. Warsaw.
Download


Paper Citation


in Harvard Style

A. Grzeszczyk T. (2004). APPLICATION OF NEURAL NETWORKS FOR PRIOR APPRAISAL OF STRUCTURAL FUNDS PROJECT PROPOSALS . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 501-504. DOI: 10.5220/0002605505010504


in Bibtex Style

@conference{iceis04,
author={Tadeusz A. Grzeszczyk},
title={APPLICATION OF NEURAL NETWORKS FOR PRIOR APPRAISAL OF STRUCTURAL FUNDS PROJECT PROPOSALS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={501-504},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002605505010504},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - APPLICATION OF NEURAL NETWORKS FOR PRIOR APPRAISAL OF STRUCTURAL FUNDS PROJECT PROPOSALS
SN - 972-8865-00-7
AU - A. Grzeszczyk T.
PY - 2004
SP - 501
EP - 504
DO - 10.5220/0002605505010504