On hybrid connectionist-symbolic models

There are many similarities between grammar systems and artificial neural networks: parallelism, independently working elements (grammars/neurons), communication of the elements, absence of centralized control. On the other hand, there are crucial differences between symbolic and quantitative data p...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerző: Sosík Petr
Dokumentumtípus: Cikk
Megjelent: 1997
Sorozat:Acta cybernetica 13 No. 2
Kulcsszavak:Számítástechnika, Kibernetika
Tárgyszavak:
Online Access:http://acta.bibl.u-szeged.hu/12584
Leíró adatok
Tartalmi kivonat:There are many similarities between grammar systems and artificial neural networks: parallelism, independently working elements (grammars/neurons), communication of the elements, absence of centralized control. On the other hand, there are crucial differences between symbolic and quantitative data processing. We will try to give a brief overview of the methods of "building bridges" between symbolic and connectionist paradigm and to propose some recent results. After that, we will touch some essential problems, concerning incorporation of accepting/generating grammar systems and neural network models.
Terjedelem/Fizikai jellemzők:159-172
ISSN:0324-721X