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Neural network modeling method of transformations data of audit production with returnable waste
International Workshop on Computational & Information Technologies for Risk-Informed Systems
Currently, the analytical procedures used during the audit are based on data mining techniques. The object of the research is the process of the content auditing of the production with returnable waste and intermediate products. The aim of the work is to reduce the risk of incorrect display of the dataset in the DSS of the audit of the method of neural network modeling of transformations of audit data of production with recyclable waste and intermediates. This will reduce the risk of thedblp:conf/citrisk/NeskorodievaFRS21 fatcat:67doy3fogzfwpai6xwhjyvffiu