No subject

possible solutions, then some of them will work well for new inputs and
others will not work well.  So on one training run a network may appear to
generalise well to a new input set, while on another it does not.  Does this
mean that, when connectionists refer to the ability of a network to
generalise, they are referring to an average ability over many trials?  Has
anyone encountered situations in which the same network appeared to
generalise well on one learning trial and poorly on another? 

Reference:
Bates, E.A. & Elman, J.L. (1992).  Connectionism and the study
	of change.  CRL Technical Report 9202, (February).

-- 
Paul Atkins                     email: patkins at laurel.mqcc.mq.oz.au
School of Behavioural Sciences  phone: (02) 805-8606
Macquarie University            fax  : (02) 805-8062
North Ryde, NSW, 2113
Australia.