paper available: phase transitions in neural networks

[Michael Biehl]

FTP-host:       ftp.physik.uni-wuerzburg.de 
FTP-filename:   /pub/preprint/1997/WUE-ITP-97-005.ps.gz


The following manuscript is now available via anonymous ftp
(See below for the retrieval procedure), or, alternatively from 

http://xxx.lanl.gov/abs/cond-mat/9704098


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         Phase Transitions of Neural Networks

                 Wolfgang Kinzel


   Plenary talk for MINERVA workshop on mesoscopics,
   fractals and neural networks, Eilat, March 1997

   Ref.:  WUE-ITP-97-005


                       Abstract

The cooperative behaviour of interacting neurons and synapses 
is studied using models and methods from statistical physics. 
The competition between training error and entropy may lead   
to discontinuous properties of the neural network. This is 
demonstrated for a few examples: Perceptron, associative memory, 
learning from examples, generalization, multilayer networks,   
structure recognition, Bayesian estimate, on-line training, 
noise estimation and time series generation.  

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Retrieval procedure:

     unix> ftp  ftp.physik.uni-wuerzburg.de
     Name: anonymous  Password: {your e-mail address}
     ftp>  cd pub/preprint/1997
     ftp>  binary
     ftp>  get WUE-ITP-97-005.ps.gz           (*)   
     ftp>  quit
     unix> gunzip WUE-ITP-97-005.ps.gz
e.g. unix> lp WUE-ITP-97-005.ps                     [33 pages]             

(*) can be replaced by "get WUE-ITP-97-005.ps". The file will then
    be uncompressed before transmission (slow!). 
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 Prof. Dr. W. Kinzel
 Universit"at W"urzburg
 Institut f"ur Theoretische Physik
 Am Hubland
 D-97074 W"urzburg, Germany