paper available: on-line backpropagation

[Michael Biehl]

FTP-host:       ftp.physik.uni-wuerzburg.de 
FTP-filename:   /pub/preprint/WUE-ITP-95-018.ps.gz

The following paper is now available via anonymous ftp:
(See below for the retrieval procedure)

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   "On-line backpropagation in two-layered neural networks" 
    Peter Riegler and Michael Biehl

    Ref. WUE-ITP-95-018     

                      Abstract
    We present an exact analysis of learning a rule by on-line
    gradient descent in a two-layered neural network with adjustable
    hidden-to-output weigths (backpropagation of error). Results
    are compared with the training of networks having the same 
    architecture but fixed weights in the second layer.


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Retrieval procedure:

     unix> ftp  ftp.physik.uni-wuerzburg.de
     Name: anonymous  Password: {your e-mail address}
     ftp>  cd pub/preprint
     ftp>  get WUE-ITP-95-018.ps.gz           (*)   
     ftp>  quit
     unix> gunzip WUE-ITP-95-018.ps.gz
e.g. unix> lp WUE-ITP-95-018.ps                     [8 pages]             

(*) can be replaced by "get WUE-ITP-95-018.ps". The file will then
    be uncompressed before transmission (slow!). 
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Michael Biehl     
Institut fuer Theoretische Physik              
Julius-Maximilians-Universitaet Wuerzburg
Am Hubland
D-97074 Wuerzburg 

email:  biehl at physik.uni-wuerzburg.de
Tel.:   (+49) (0)931 888 5865   
          "      "    "  5131
Fax :   (+49) (0)931 888 5141