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.

Link:

FORMING OF LEARNING SET FOR NEURAL NETWORKS IN PROBLEMS OF LOSSLESS DATA COMPRESSION

Yuriy Ivaskiv, Victor Levchenko

http://www.foibg.com/ijita/vol15/ijita15-1-p04.pdf