Search results for key=CSW1993 :
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Refereed full papers (journals, book chapters, international conferences)
1993
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@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.},
}
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