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Obstacle Identification by an Ultrasound Sensor Using Neural Networks Read chapter Read first chapter

1998 | OriginalPaper | Chapter

A Hybrid Expert System Architecture for Medical Diagnosis

Authors : L. M. Brasil, F. M. de Azevedo, J. M. Barreto

Published in: Artificial Neural Nets and Genetic Algorithms

Publisher: Springer Vienna

Included in: Professional Book Archive

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This paper deals with a new methodology for the development of an expert system (ES) using a hybrid architecture. This architecture simplifies the knowledge acquisition phase, by providing some sort of learning corresponding to the training phase of the neural network. So, it is possible to start with the nucleus of a knowledge base and the system will improve during the learning phase using examples.

previous chapter Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations
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Metadata
Title
A Hybrid Expert System Architecture for Medical Diagnosis
Authors
L. M. Brasil
F. M. de Azevedo
J. M. Barreto
Copyright Year
1998
Publisher
Springer Vienna
Book
Artificial Neural Nets and Genetic Algorithms

Print ISBN: 978-3-211-83087-1

Electronic ISBN: 978-3-7091-6492-1

Copyright Year: 1998

DOI
https://doi.org/10.1007/978-3-7091-6492-1_33