---
abstract: 'This paper presents some of the procedures adopted in the construction of a Radial Basis Function Neural Network by iteratively applying the aiNET, an Artificial Immune Systems Algorithm. These procedures have shown to be effective in terms of i) the free determination of centroids inspired by an immune heuristics; and ii) the achievement of appropriate minimal square errors after a number of iterations. Experimental and empirical results are compared aiming at confirming (or not) some hypotheses.'
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: ~
conference: ~
confloc: ~
contact_email: ~
creators_id:
  - srautenberg@egc.ufsc.br
  - lfm@egc.ufsc.br
  - wigarashi@bol.com.br
  - gauthier@inf.ufsc.br
  - rogerio@inf.ufsc.br
  - tite@egc.ufsc.br
creators_name:
  - family: Rautenberg
    given: Sandro
    honourific: ''
    lineage: ''
  - family: Medeiros
    given: Luciano Frontino de
    honourific: ''
    lineage: ''
  - family: Igarashi
    given: Wagner
    honourific: ''
    lineage: ''
  - family: Gauthier
    given: Fernando Ostuni
    honourific: ''
    lineage: ''
  - family: Bastos
    given: Rogério Cid
    honourific: ''
    lineage: ''
  - family: Todesco
    given: José Leomar
    honourific: ''
    lineage: ''
date: 2008-05-05
date_type: published
datestamp: 2008-05-11 02:41:13
department: ~
dir: disk0/00/00/60/46
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 6046
fileinfo: /style/images/fileicons/application_pdf.png;/6046/1/LNMv4s1pp24%2D31.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: ~
lastmod: 2011-03-11 08:57:07
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: 1
pagerange: 24-31
pubdom: FALSE
publication: 'Learning and Nonlinear Models - Revista da Sociedade Brasileira de Redes Neurais (SBRN)'
publisher: ©Sociedade Brasileira de Redes Neurais
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 33
series: ~
source: ~
status_changed: 2008-05-11 02:41:13
subjects:
  - comp-sci-art-intel
  - comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
type: journalp
userid: 7798
volume: 4
<script src="//archive-bar.soton.ac.uk/archive-bar.js"></script>