Open AccessImproving the efficiency of neural networks with virtual training data
Author(s) -
János Hollósi,
Rudolf Krecht,
Norbert Markó,
Áron Ballagi
Publication year - 2020
Publication title -
hungarian journal of industry and chemistry/hungarian journal of industrial chemistry
Language(s) - English
Resource type - Journals
eISSN - 2450-5102
pISSN - 0133-0276
DOI - 10.33927/hjic-2020-02
Subject(s) - artificial neural network , task (project management) , computer science , track (disk drive) , process (computing) , training (meteorology) , artificial intelligence , training set , shell (structure) , virtual machine , machine learning , human–computer interaction , engineering , systems engineering , physics , civil engineering , meteorology , operating system