DocumentCode
1702681
Title
NEUREX-an expert system for the autonomous design of artificial neural nets
Author
Michaud, Francois ; Rub, Ruben Gonzalez
Author_Institution
Dept. of Electr. & Comput. Eng., Sherbrooke Univ., Que., Canada
Volume
1
fYear
1995
Firstpage
105
Abstract
The learning capacity of artificial neural nets removes the need to formulate a model or to extract knowledge for the implementation of any correspondence function. On the other hand, the design process calls for a certain number of iterations before one can find the right configuration and learning parameters for use in a given application. To mitigate this difficulty, NEUREX has been designed to consist of an expert system and an artificial neural net simulator. It supervises autonomously the process of design in the same way as would an experienced designer, and is currently in readiness to supervise artificial neural net design using standard backpropagation
Keywords
backpropagation; expert systems; neural nets; NEUREX; artificial neural net simulator; autonomous design; design process; expert system; learning capacity; neural net design; standard backpropagation; Analytical models; RNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.528085
Filename
528085
Link To Document