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

摘要

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.