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Proceedings Paper

Knowledge-based system using a neural network
Author(s): Raisa R. Szabo; Abhijit S. Pandya; Bela Szabo
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Paper Abstract

Neural network technology is finding applications in a wide range of research fields, such as, pattern recognition, robot navigation, communications, computer vision, etc. Neural nets can also be used as experts in a particular problem domain. Powerful learning algorithms associated with neural net architectures provide them the ability to extract similarities from the database and encode these properties in a weight matrix. This reduces the dependance on a human expert to create a rule base. In this paper we describe a knowledge-based network for the diagnosis of the risk factor of developing coronary atherosclerosis. The entire system consists of a knowledge based system which uses a neural network, that is trained for a specific set of data, to obtain a risk factor which it then modifies based on additional information to obtain the final result.

Paper Details

Date Published: 1 March 1991
PDF: 8 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45518
Show Author Affiliations
Raisa R. Szabo, Nova Univ. (United States)
Abhijit S. Pandya, Florida Atlantic Univ. (United States)
Bela Szabo, Florida Atlantic Univ. (United States)


Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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