Numerical Solutions and Their Error Bounds for Oscillatory Neural Networks

Autor:	B. Zubik-Kowal
Rok vydání:	2015
Předmět:	Iterative and incremental development Series (mathematics) Computer science Algorithm Oscillatory neural network
Zdroj:	Integral Methods in Science and Engineering ISBN: 9783319167268
DOI:	10.1007/978-3-319-16727-5_58
Popis:	Error bounds are derived for an iterative process constructed for a thalamocortical mathematical model. The model describes a new architecture for a neurocomputer. A series of numerical simulations demonstrate the theoretical results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::547a8702959db6d7e4664cfe485ea818 https://doi.org/10.1007/978-3-319-16727-5_58 Zobrazit plný text záznamu