TR available

[Marcus Frean]

The following technical report is available:


	The Upstart algorithm : a method for constructing and
		training feed-forward neural networks

	  		    Marcus Frean
		     Center for Cognitive Science
		       University of Edinburgh

			       ABSTRACT

A general method for building and training multi-layer perceptrons
composed of linear threshold units is proposed. A simple recursive
rule is used to build the net's structure by adding units as they are
needed, while a modified Perceptron algorithm is used to learn the
connection strengths. Convergence to zero errors is guaranteed for any
Boolean classification on patterns of binary variables.  Simulations
suggest that this method is efficient in terms of the numbers of units
constructed, and the networks it builds can generalise over patterns
not in the training set. 
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This is available in Postscript form by anonymous ftp as follows:

unix> ftp cheops.cis.ohio-state.edu  (or, ftp 128.146.8.62)
Name: anonymous
Password: neuron
ftp> cd pub/neuroprose/Inbox
ftp> binary
ftp> get upstart.ps.Z
ftp> quit
unix> uncompress upstart.ps.Z
unix> lpr upstart.ps   (use flag your printer needs for Postscript) 

   [The report should be moved to pub/neuroprose fairly soon]
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Please make requests for hard-copy only if you can't get it by ftp.

Marcus Frean

email:	marcus at cns.ed.ac.uk
mail :	Center for Cognitive Science
	University of Edinburgh
	2 Buccleuch Place
	Edinburgh   EH8 9LW
	United Kingdom