A temporal neural network model for constructing connectionist expert system knowledge bases

CivelekAlpaslan F. N., Swigger K.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, cilt.19, sa.2, ss.119-133, 1996 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 2
  • Basım Tarihi: 1996
  • Doi Numarası: 10.1006/jnca.1996.0010
  • Dergi Adı: JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.119-133
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.