Artificial neural network methods in few-body systems

Rampho, Gaotsiwe Joel

dc.contributor.advisor	Lagaris, I. E.	en
dc.contributor.advisor	Sofianos, S. A.	en
dc.contributor.author	Rampho, Gaotsiwe Joel	en
dc.date.accessioned	2009-08-25T10:47:36Z
dc.date.available	2009-08-25T10:47:36Z
dc.date.issued	2009-08
dc.date.submitted	2002-11-30	en
dc.identifier.citation	Rampho, Gaotsiwe Joel (2009) Artificial neural network methods in few-body systems, University of South Africa, Pretoria, <http://hdl.handle.net/10500/886>	en
dc.identifier.uri	http://hdl.handle.net/10500/886
dc.format.extent	1 online resource (iv, 72 leaves)
dc.language.iso	en	en
dc.subject	Feedforward neural networks
dc.subject	Multilayer perception
dc.subject	Optimization
dc.subject	Few-body systems
dc.subject	Variation methods
dc.subject	Coulombic systems
dc.subject	Ground states
dc.subject.ddc	530.14
dc.subject.lcsh	Neural networks (Computer science)
dc.subject.lcsh	Few-body problem
dc.title	Artificial neural network methods in few-body systems	en
dc.type	Dissertation	en
dc.description.department	Physics	en
dc.description.degree	M. Sc. (Physics)	en