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--- 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: Rog�rio Cid honourific: '' lineage: '' - family: Todesco given: Jos� 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