@article{52a7c4a0-0dfc-4de8-8ee7-ed0fdff68200,
author = {Hubert Anysz, Andrzej Foremny, Janusz Kulejewski},
title = {Estimating potential losses of the
	client in public procurement in case of collusion utilizing a MLP neural networks},
journal = {Czasopismo Techniczne},
volume = {2014},
number = {Budownictwo Zeszyt 1-B (5) 2014},
year = {2014},
issn = {0011-4561},
pages = {105-118},keywords = {collusion MLP artificial neural networks public procurements},
abstract = {There are two types of collusion which can harm Clients. This paper proposes two methods of detecting collusion’s and estimation a clients’ potential losses. The first is based on officially recommended factors for collusion detecting. The second one utilizes MLP artificial neural networks. Results are compared and discussed.},
doi = {10.4467/2353737XCT.14.088.2538},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/estimating-potential-losses-of-the-client-in-public-procurement-in-case-of-collusion-utilizing-a-mlp-neural-networks}
}