DocumentCode :
2349304
Title :
Artificial Neural Networks in Rule-based Decision Systems
Author :
Yastrebov, Alexander ; Gad, Stanislaw ; Slon, Grzegorz ; Kulakowski, Andrzej ; Vinogradova, Elena
Author_Institution :
Kielce Univ. of Technol., Kielce
fYear :
2007
fDate :
9-12 Sept. 2007
Firstpage :
686
Lastpage :
691
Abstract :
While building neural models in decision methods based on logic functions and relevant expert knowledge the proper network structure may be chosen according to the given information of the problem solved. There has been presented a certain approach to designing one-directional artificial neural networks with special structure created to solve a specific decision problem based on neural models of logic functions. The input-output relations of the rules in knowledge base are presented in the matrix form. There has been designed a general algorithm for modification of connections between neurons.
Keywords :
decision making; expert systems; formal logic; knowledge based systems; matrix algebra; neural nets; artificial neural networks; expert knowledge; input-output relations; logic functions; matrix form; rule-based decision systems; Algorithm design and analysis; Artificial neural networks; Biological neural networks; Buildings; Computer networks; Learning; Logic functions; Network topology; Neurons; Psychology; decision systems; diagnostic systems; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location :
Warsaw
Print_ISBN :
978-1-4244-0813-9
Electronic_ISBN :
978-1-4244-0813-9
Type :
conf
DOI :
10.1109/EURCON.2007.4400349
Filename :
4400349
Link To Document :
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