Global Convergence for Discrete Dynamical Systems and Forward Neural Networks
Using a theoretical result regarding the global stability of discrete dynamical systems of lower triangular form, we establish convergence properties of forward neural networks when the neuron response functions fail to be continuous.
Anahtar Kelimeler:
Turk. J. Math., 25, (2001), 345-354. Full text: pdf Other articles published in the same issue: Turk. J. Math., vol.25, iss.2.
Global Convergence for Discrete Dynamical Systems and Forward Neural Networks
Using a theoretical result regarding the global stability of discrete dynamical systems of lower triangular form, we establish convergence properties of forward neural networks when the neuron response functions fail to be continuous.
Keywords:
Turk. J. Math., 25, (2001), 345-354. Full text: pdf Other articles published in the same issue: Turk. J. Math., vol.25, iss.2.,
- ISSN: 1300-0098
- Yayın Aralığı: Yılda 6 Sayı
- Yayıncı: TÜBİTAK
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