Case-Based Reasoning, Genetic Algorithms, and the Pile Foundation Information System

Author(s):  
Otakar Babka ◽  
Celestino Lei ◽  
A. G. Laurinda
Author(s):  
Guanghsu A. Chang ◽  
Cheng-Chung Su ◽  
John W. Priest

Artificial intelligence (AI) approaches have been successfully applied to many fields. Among the numerous AI approaches, Case-Based Reasoning (CBR) is an approach that mainly focuses on the reuse of knowledge and experience. However, little work is done on applications of CBR to improve assembly part design. Similarity measures and the weight of different features are crucial in determining the accuracy of retrieving cases from the case base. To develop the weight of part features and retrieve a similar part design, the research proposes using Genetic Algorithms (GAs) to learn the optimum feature weight and employing nearest-neighbor technique to measure the similarity of assembly part design. Early experimental results indicate that the similar part design is effectively retrieved by these similarity measures.


1994 ◽  
Vol 61 (1) ◽  
pp. 26-30
Author(s):  
S. Pasquali

This paper deals with the basic structure of computers (hardware and software) and some of the software applications now offered by technology; these applications can make medical work easier. Some features of advanced software applications are presented here, such as expert systems, case-based reasoning technics, image management, and also call tracking systems and user interface systems. The aim of this paper is to offer an overall view of the opportunity of setting up an efficient information system inside a health structure.


2002 ◽  
Vol 15 (1-2) ◽  
pp. 45-52 ◽  
Author(s):  
Elisabet Golobardes ◽  
Xavier Llorà ◽  
Maria Salamó ◽  
Joan Martı́

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