Please use this identifier to cite or link to this item:
Title: Connectionist expert system with adaptive learning capability
Authors: Low, B.T.
Lui, H.C. 
Tan, A.H. 
Teh, H.H. 
Issue Date: Jun-1991
Citation: Low, B.T.,Lui, H.C.,Tan, A.H.,Teh, H.H. (1991-06). Connectionist expert system with adaptive learning capability. IEEE Transactions on Knowledge and Data Engineering 3 (2) : 200-207. ScholarBank@NUS Repository.
Abstract: The authors describe a neural network expert system called adaptive connectionist expert system (ACES) which will learn adaptively from past experience. ACES is based on the neural logic network, which is capable of doing both pattern processing and logical inferencing. The authors discuss two strategies, pattern matching ACES and rule inferencing ACES. The pattern matching ACES makes use of past examples to construct its neural logic network and fine-tunes itself adaptively during its use by further examples supplied. The rule inferencing ACES conceptualizes new rules based on the frequencies of use on the rule-based neural logic network. A new rule could be considered as a pattern matching example and be incorporated into pattern matching ACES.
Source Title: IEEE Transactions on Knowledge and Data Engineering
ISSN: 10414347
DOI: 10.1109/69.88000
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jul 18, 2019

Page view(s)

checked on Jun 28, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.