Abstract: questions of forming of learning sets for artificial neural networks in problems of lossless data
compression are considered. Methods of construction and use of learning sets are studied. The way of forming of
learning set during training an artificial neural network on the data stream is offered.
Keywords: neural network; modeling of data sources; learning set.
ACM Classification Keywords: C.1.3 Other Architecture Styles – Neural Nets. D.4.8 Performance – Modeling
and predictions. E.4 Coding and Information Theory – Data compaction and compression.
FORMING OF LEARNING SET FOR NEURAL NETWORKS IN PROBLEMS OF
LOSSLESS DATA COMPRESSION
Yuriy Ivaskiv, Victor Levchenko