Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer


ÖZBAKIR L., Delice Y.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, cilt.24, ss.491-500, 2011 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 24 Konu: 3
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.engappai.2010.11.008
  • Dergi Adı: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  • Sayfa Sayısı: ss.491-500

Özet

Purpose: Extracting comprehensible classification rules is the most emphasized concept in data mining researches. In order to obtain accurate and comprehensible classification rules from databases, a new approach is proposed by combining advantages of artificial neural networks (ANN) and swarm intelligence.