Anda belum login :: 27 Nov 2024 08:45 WIB
Detail
ArtikelStability Analysis of Neural-Network Interconnected Systems  
Oleh: Hwang, Jiing-Dong ; Hsiao, Feng-Hsiag
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 1 (Jan. 2003), page 201-208.
Topik: fuzzy neural networks; neural - network
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II36.8
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
    Lihat Detail Induk
Isi artikelThis paper is concerned with the stability problem of a neural - network (NN) interconnected system which consists of a set of NN models. First, a linear difference inclusion (LDI) state - space representation is established for the dynamics of each NN model. Subsequently, based on the LDI state - space representation, a stability criterion in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN interconnected systems. Finally, a numerical example with simulations is given to demonstrate the results.
Opini AndaKlik untuk menuliskan opini Anda tentang koleksi ini!

Kembali
design
 
Process time: 0.015625 second(s)