Refereed full papers (journals, book chapters, international conferences)

1993

@article{CSW1993,
	vgclass =	{refpap},
	vgproject =	{nn,invariance},
	author =	{Terry M. Caelli and David McG. Squire and Tom P.J. Wild},
	title =	{Model-Based Neural Networks},
	journal =	{Neural Networks},
	volume =	{6},
	number =	{5},
	pages =	{613--625},
	year =	{1993},
	doi =	{https://doi.org/10.1016/S0893-6080(05)80106-6},
	url =	{/publications/postscript/mbnn.ps.gz},
	abstract =	{In this paper we show how neural networks can be
	formulated in terms of various parameterised connection models which
	explicitly encode desired properties of the target system. Such a
	modeling approach to neural networks raises issues about their
	relationships to other technologies such as Adaptive Filtering and
	Principal Components Analysis. The benefits of this approach can be a
	significant decrease in the parameter space, improved generalisation,
	and a learning procedure which guarantees a priori specified invariance
	constraints.},
}