Paper available: Learning by dilution in a Neural Network

[Bernardo Lopez]

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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