Alexander Vasilyev

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A classifier system is a self-learning system based on syntactically simple rules. It was first introduced by Holland [1]. Lots of rules can be activated at the same time, which is why information is being processed in parallel. 1.1. Simple classifier system According to Holland [1], a non-learning classifier system consists of four principal components: 1.(More)
  • Васильев А Н, Тархов Д А, Шемякина Т А, Приближенные Аналитические, Решения Обыкновенных, Дифференциальных Уравнений +3 others
  • 2016
Нейронные BLOCKINсети; BLOCKINприближенные BLOCKINрешения; BLOCKINдифференциальные BLOCKINуравнения. ABSTRACT Original approaches to building multi-layered approximate solutions of differential equations are discussed. These approaches are based on classical approximate methods. In contrast to classical BLOCKINapproaches, BLOCKINwe BLOCKINobtain BLOCKINas(More)
  • Васильев А Н, Тархов Д А, Болгов И П, Каверзнева Т Т, Колесова С А, Лазовская Т В +13 others
  • 2016
BLOCKINмодель. ABSTRACT We BLOCKINconsider BLOCKINsome BLOCKINoriginal BLOCKINapproaches BLOCKINto BLOCKINthe BLOCKINconstruction BLOCKINof BLOCKINmulti-layer BLOCKINneural BLOCKINnetwork BLOCKINmodels describing nonlinear deformation processes of elastic samples on the basis of heterogeneous experimental BLOCKINdata BLOCKINcontaining BLOCKINapproximately(More)
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