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Journal article

On-chip learning with analogue VLSI neural networks.

Abstract:

Results from simulations of weight perturbation as an on-chip learning scheme for analogue VLSI neural networks are presented. The limitations of analogue hardware are modelled as realistically as possible. Thus synaptic weight precision is defined according to the smallest change in the weight setting voltage which gives a measurable change at the output of the corresponding neuron. Tests are carried out on a hard classification problem constructed from mobile robot navigation data. The simu...

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Publication status:
Published

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Publisher copy:
10.1142/S0129065793000341

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Journal:
International journal of neural systems
Volume:
4
Issue:
4
Pages:
419-426
Publication date:
1993-12-01
DOI:
EISSN:
1793-6462
ISSN:
0129-0657
Source identifiers:
61546
Language:
English
Keywords:
Pubs id:
pubs:61546
UUID:
uuid:01bb3897-e939-478c-891b-31b94030cfbf
Local pid:
pubs:61546
Deposit date:
2013-11-17

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