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 :
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