The Analysis of the addition of Stochasticity to a Neural Tree Classifier

W. Pensuwon, R.G. Adams, N. Davey

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
39 Downloads (Pure)

Abstract

This paper describes various mechanisms for adding stochasticity to a dynamic hierarchical neural clusterer. Such a network grows a tree-structured neural classifier dynamically in response to the unlabelled data with which it is presented. Experiments are undertaken to evaluate the effects of this addition of stochasticity. These tests were carried out using two sets of internal parameters, that define the characteristics of the neural clusterer.
Original languageEnglish
Pages (from-to)189-200
JournalApplied Soft Computing
Volume1
Issue number3
DOIs
Publication statusPublished - 2001

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