@conference{_1992b tabouratzis,
author = "Tambouratzis, George and Stonham, T.J.",
abstract = "An online, unsupervised training algorithm is presented, which allows a logical neural network already trained to identify classes of objects to adapt to changes in the environment. This algorithm enables the system to operate continuously, without danger of overgeneralisation and displays useful noise-reduction properties. Results indicating its capabilities and characteristics in this adaptation task are described. The algorithm's self-organisation characteristics are also evaluated",
address = "The Hague, The Netherlands",
booktitle = "Proceedings of the 11th IAPR Conference on Pattern Recognition",
doi = "10.1109/ICPR.1992.201719",
isbn = "0-8186-2915-0",
month = "30 August-3 September",
organization = "IAPR",
pages = "46-49",
publisher = "IEEE PRESS",
title = "{A} {L}ogical {N}eural {N}etwork that {A}dapts to {C}hanges in the {P}attern {E}nvironment ",
year = "1992",
}