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Detail
ArtikelStability of Asymmetric Hopfield Networks  
Oleh: Chen, Tianping ; Amari, S.I.
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 12 no. 1 (2001), page 159-163.
Topik: asymmetric information; stability; asymmetric hopfield networks
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II36.5
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelIn this paper, we discuss dynamical behaviours of recurrently asymmetrically connected neural networks in detail. We propose an effective approach to study global and local stability of the networks. Many of well known existing results are unified in our framework, which gives much better test conditions for global and local stability. Sufficient conditions for the uniqueness of the equilibrium point and its stability conditions are given, too.
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