Paper available: Learning by dilution in a Neural Network
Bernardo Lopez
lopez at physik.uni-wuerzburg.de
Mon Nov 18 07:30:18 EST 1996
FTP-host: ftp.physik.uni-wuerzburg.de
FTP-filename: /pub/preprint/1996/WUE-ITP-96-028.ps.gz
The following manuscript is now available via anonymous ftp:
(See below for the retrieval procedure)
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"Learning by dilution in a Neural Network"
B. Lopez and W. Kinzel
Ref. WUE-ITP-96-028
Abstract
A perceptron with N random weights can store of the order of
N patterns by removing a fraction of the weights without changing
their strengths. The critical storage capacity as a function of the
concentration of the remaining bonds for random outputs and for
outputs given by a teacher perceptron is calculated.
A simple Hebb--like dilution algorithm is presented which in the
teacher case reaches the optimal generalization ability.
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Retrieval procedure:
unix> ftp ftp.physik.uni-wuerzburg.de
Name: anonymous Password: {your e-mail address}
ftp> cd pub/preprint/1996
ftp> binary
ftp> get WUE-ITP-96-028.ps.gz (*)
ftp> quit
unix> gunzip WUE-ITP-96-028.ps.gz
e.g. unix> lp WUE-ITP-96-028.ps [15 pages]
(*) can be replaced by "get WUE-ITP-96-028.ps". The file will then
be uncompressed before transmission (slow!).
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