JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 2    Issue : 7    Date : September 2007

Learning by Discrimination: A Constructive Incremental Approach
Christophe Giraud-Carrier and Tony Martinez
Page(s): 49-58
Full Text:
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Abstract
This paper presents i-AA1?, a constructive, incremental learning algorithm for a special class of
weightless, self-organizing networks. In i-AA1?, learning consists of adapting the nodes’ functions
and the network’s overall topology as each new training pattern is presented. Provided the training
data is consistent, computational complexity is low and prior factual knowledge may be used to
“prime” the network and improve its predictive accuracy and/or efficiency. Empirical generalization
results on both toy problems and more realistic tasks demonstrate promise.

Index Terms
Incremental learning, Self-organizing networks, Constructive learning, Prior knowledge