Yuri I. BalkareyAlexander S. CohenM. I. ElinsonMichael G. EvtikhovWalter H. JohnsonYuri N. OrlovP.I. Perov
A new neural network architecture with associative properties is proposed. Elements of every stored image obtain a special mark after local connections training. `All to all' connections are replaced by connections with a special Central Generator. It allows to unite all elements with the same mark into the whole image. The new architecture leads to a radical simplification of the connection system and therefore to the possibility of a large associative memory creation. Analog and digital optoelectronic versions are discussed.
Jack N. CederquistDaniel K. AngellJohn H. SeldinKirk A. Weigand
A.A. YamamuraSeiji KobayashiMark A. NeifeldDemetri Psaltis
Andrew J. WaddieT. YasueK J SymingtonJohn F. SnowdonMohammad R. Taghizadeh
William RobinsonJohn M. TaboadaHarold G. Longbotham
В. А. ИвановAndrei L. MikaelianB. A. NovoselovD. E. Okonov