NEURAL NETWORKS IN RAW MINERAL MATERIAL FLOTATION TASKS: ARCHITECTURE SELECTION SCHEME BASED ON DATA TYPE AND PROBLEM STATEMENT

Успехи современного естествознания (Advances in Current Natural Sciences) 2026 Open access

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Authors: T. (Tetiana) Aleksandrova, Bulat Gatiatullin
DOI: 10.17513/use.38481
Cited by: 0
References: 23

Fields of Study & Subjects

Minerals Flotation and Separation Techniques Mineral Processing and Grinding Neural Networks and Applications

Publication details

Journal / source
Успехи современного естествознания (Advances in Current Natural Sciences)
Issue
№2 2026
Pages
77–83
Publication date
1 January 2026
Language
RU