DocumentCode
3255533
Title
An overview on supervised neural networks for structures
Author
Sperduti, Alessandro
Author_Institution
Dipartimento di Inf., Pisa Univ., Italy
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2550
Abstract
In recent years neural networks for the representation and processing of structures have been developed. These kind of networks are of paramount importance for the development of hybrid systems, since they allow the treatment of structured information very naturally and, in several cases, very efficiently. We present the basic concepts underpinning this class of networks and discuss computational and complexity issues
Keywords
computational complexity; directed graphs; finite state machines; learning (artificial intelligence); neural nets; complexity; hybrid systems; structured information; structures; supervised neural networks; Computational intelligence; Computer networks; Encoding; Expert systems; Fuzzy logic; Genetic algorithms; Hybrid intelligent systems; Intelligent networks; Neural networks; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614701
Filename
614701
Link To Document