Automated knowledge acquisition for instructional text generation

2002 ◽  
Author(s):  
Cécile Paris ◽  
Keith Vander Linden ◽  
Shijian Lu
Keyword(s):  
Knowledge Acquisition ◽  
Text Generation ◽  
Instructional Text ◽  
Automated Knowledge

Machine Learning: Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms

2005 ◽  
Vol 9 (6) ◽  
pp. 693-697 ◽  
Author(s):  
Nazar Elfadil ◽  
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Knowledge Acquisition ◽  
Training Data ◽  
Neural Network Models ◽  
Self Organizing Maps ◽  
Data Set ◽  
Unsupervised Neural Network ◽  
Automated Knowledge ◽  
Self Organizing

Self-organizing maps are unsupervised neural network models that lend themselves to the cluster analysis of high-dimensional input data. Interpreting a trained map is difficult because features responsible for specific cluster assignment are not evident from resulting map representation. This paper presents an approach to automated knowledge acquisition using Kohonen's self-organizing maps and k-means clustering. To demonstrate the architecture and validation, a data set representing animal world has been used as the training data set. The verification of the produced knowledge base is done by using conventional expert system.

Automated knowledge acquisition for a computer hardware systhesis system

1989 ◽  
Vol 1 (4) ◽  
pp. 321-340 ◽  
Author(s):  
William P. Birmingham ◽  
Daniel P. Siewiorek
Keyword(s):  
Knowledge Acquisition ◽  
Computer Hardware ◽  
Automated Knowledge
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