@inproceedings{5b358b7753d44b11a4ddfbfd255f11f6,

title = "Complexity of block-sequential update for symmetric neural networks",

abstract = "We prove that the dynamics of arbitrary neural networks (non necessarily symmetric) of size n can be simulated by symmetric neural nets of size 3n updated in a block-sequential mode. As a particular case we prove that the class of symmetric neural nets with arbitrary diagonal elements updated sequentially is universal i. e. it simulates any non-symmetric neural networks dynamics.",

author = "Eric Goles and Martin Matamala",

year = "1993",

language = "English",

isbn = "0780314212",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Publ by IEEE",

pages = "1469--1472",

editor = "Anon",

booktitle = "Proceedings of the International Joint Conference on Neural Networks",

note = "null ; Conference date: 25-10-1993 Through 29-10-1993",

}