Learning by optimization in random neural networks

Atalay V.

13th International Symposium on Computer and Information Sciences (ISCIS 98), BELEK ANTALYA, Türkiye, 26 - 28 Ekim 1998, cilt.53, ss.143-148 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 53
  • Basıldığı Şehir: BELEK ANTALYA
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.143-148
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

The random neural network model proposed by Gelenbe has a number of interesting features in addition to a well established theory. Gelenbe has also developed a learning algorithm for the recurrent random network model using gradient descent of a quadratic error function. We present a quadratic optimization approach for learning in the random neural network, particularly for image texture reconstruction.