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

摘要

This is paper presents an approach for automated knowledge acquisition system using Kohonen self-organizing maps and k-means clustering. For the sake of illustrating the system overall architecture and validate it, a data set represent world animal has been used as training data set. The verification of the produced knowledge based had done by using conventional expert system.