Complex-Valued Multistate Neural Associative Memory  

Oleh:

Jankowski, S. ; Lozowski, A. ; Zurada, Jacek M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 6 (1996), page 1491-1496.
Topik: neural network; complex - valued; multistate; neural; memory

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A model of a multivalued associative memory is presented. This memory has the form of a fully connected attractor neural network composed of multistate complex - valued neurons. Such a network is able to perform the task of storing and recalling gray - scale images. It is also shown that the complex - valued fully connected neural network may be considered as a generalization of a Hopfield network containing real - valued neurons. A computational energy function is introduced and evaluated in order to prove network stability for asynchronous dynamics. Storage capacity as related to the number of accessible neuron states is also estimated.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali