NDLI: A graphical operating environment for neural network expert systems

Content Provider	IEEE Xplore Digital Library
Author	Quah, T.S. Tan, C.L. Teh, H.H.
Copyright Year	1991
Description	Author affiliation: Nat. Univ. of Singapore, Kent Ridge, Singapore (Quah, T.S.; Tan, C.L.; Teh, H.H.)
Abstract	A window-based platform, known as the Graphical Environment for Neuronet Expert Systems (GENES), is proposed. The platform provides the user with an easy-to-learn, easy-to-use operating environment for creating, training, editing, and enhancing neural-network-based expert systems. The underlying neural logic network (NELONET) has been shown to be capable of doing logical inferencing and is used in two large-scale-operation expert systems. Building on top of the X-window system and the OPENLOOK user interface, GENES inherits the select-and-perform operation strategy for neural network objects. The system's knowledge base contains simple network elements that correspond to rules in a conventional system. During the inference process, these network elements are linked up dynamically to form a large neural network which will operate according to the NELONET activation rules.
Starting Page	684
Ending Page	689
File Size	314694
Page Count	6
File Format	PDF
ISBN	0780302273
DOI	10.1109/IJCNN.1991.170479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-11-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Expert systems Logic User interfaces Parallel processing Computer science Large-scale systems Knowledge based systems Maintenance engineering Bottling
Content Type	Text
Resource Type	Article

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