1 March 1991 Knowledge-based system using a neural network
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raisa R. Szabo, Raisa R. Szabo, Abhijit S. Pandya, Abhijit S. Pandya, Bela Szabo, Bela Szabo, } "Knowledge-based system using a neural network", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45518; https://doi.org/10.1117/12.45518

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