Learning in potential-function classifier

Learning in potential-function classifier

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

An earlier letter showed that the potential-function classifier is a member of a general family of classifiers. The letter describes experiments intended to test the usefulness of the family relationship by applying to the potential-function-classifier training methods originally developed for a different classifier. These methods proved successful.


    1. 1)
      • B.G. Batchelor , N.L. Ford , B.R. Wilkins . Family of pattern classifiers. Electron. Lett. , 368 - 369
    2. 2)
      • A.G. Arkadev , E.M. Braverman . (1967) , Teaching computers to recognise patterns.
    3. 3)
      • T.M. Cover , P.E. Hart . Nearest neighbour pattern classification. IEEE Trans.
    4. 4)
      • B.G. Batchelor , B.R. Wilkins . (1968) Adaptive discriminant functions, Pattern recognition.
    5. 5)
      • Batchelor, B.G.: `Learning machines for pattern recognition', 1968, Ph.D. thesis, University of Southampton.
    6. 6)
      • N.L. Ford , B.G. Batchelor , B.R. Wilkins . A learning scheme for the nearest neighbour classifier.

Related content

This is a required field
Please enter a valid email address