PHYSICAL INTERPRETATION OF NEURON TRAINING IN FUZZY CLUSTERING NETWORKS WHEN USING MICROTOMOGRAPHY IN MEDICAL AND BIOLOGICAL RESEARCH

Autor:	S. V. Gorbachev, N. N. Gorbacheva, L. S. Bykhalov
Rok vydání:	2017
Předmět:	Fuzzy clustering business.industry Computer science Training (meteorology) Artificial intelligence business Machine learning computer.software_genre computer Interpretation (model theory)
Zdroj:	Journal of Volgograd State Medical University. 14:36-40
ISSN:	1994-9499 1994-9480
Popis:	The physical bases and interpretation of the procedure for training neurons in the fuzzy cellular neural networks of Kohonen have been investigated. Based on them, the method of automatic calibration of digital X-ray microtomographs has been described. This method involves neural-fuzzy segmentation of a distorted image into a finite number of clusters. The method is of great practical importance for the use of microtomography in biomedical research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1b451ed2877bd9b848c96266ad3de72e https://doi.org/10.19163/1994-9480-2017-3(63)-36-40 Zobrazit plný text záznamu