Newsgroups: comp.ai.neural-nets
Path: cantaloupe.srv.cs.cmu.edu!rochester!cornellcs!newsstand.cit.cornell.edu!portc01.blue.aol.com!news-peer.gsl.net!news.gsl.net!hunter.premier.net!news.mathworks.com!howland.erols.net!EU.net!usenet2.news.uk.psi.net!uknet!usenet1.news.uk.psi.net!uknet!uknet!warwick!bham!sunserver1.aston.ac.uk!usenet
From: branass@aston.ac.uk (SS BRANA)
Subject: Capacity of committe machines
X-Nntp-Posting-Host: paraguay.aston.ac.uk
Message-ID: <Dz2rpr.Gv5@aston.ac.uk>
Sender: usenet@aston.ac.uk
Reply-To: branass@aston.ac.uk
Organization: Aston University
Date: Thu, 10 Oct 1996 19:34:39 GMT
Lines: 19

I am conducting a numerical study of the capacity of committee machines.
The aim of the project is to study (numerically) the number of arbitrary 
input-output relations such a system can store. 

The commitee machine is a simple two layer neural network with binary-valued input and output.The weights between the hidden and output layer are fixed to +1 and there is a single output node. I will be using the CHIR2 algorithm to adapt the weights between the input and hidden layers.

I will be grateful for literature on committee machines e.g factors that determine the capacity of committee machines.

references :
Computational Capabilities of Restricted Two-layered Perceptrons (1993)
Learning by CHIR without storing internal representations.

Thank You
Mr Sukhvinder Brana.

branass@aston.ac.uk



