DocumentCode
288611
Title
Representation of rule-based knowledge in neural networks
Author
Fu, LiMin
Author_Institution
Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
Volume
3
fYear
1994
fDate
27 Jun-2 Jul 1994
Abstract
Shows how to represent rule-based domain knowledge in the framework of a neural network and how to represent neural network knowledge in the format rules for connectionist symbolic processing
Keywords
inference mechanisms; knowledge representation; neural nets; problem solving; connectionist symbolic processing; neural network knowledge; rule-based knowledge; Backpropagation; Buildings; Computational Intelligence Society; Councils; Intelligent networks; Intelligent structures; Intelligent systems; Network topology; Neural networks; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374506
Filename
374506
Link To Document