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The PNC2 Rule Induction System is a free machine learning software tool, that automatically induces rules from your data using the newly invented PNC2 Cluster Algorithm. An integrated parameter tuning component allows an easy adjustment of the algorithm's behaviour to your particular data without any further knowledge.
The PNC2 Rule Induction System ...
Additionally a DOS command-line version will be available soon. To be more precise: It's already included in the source code but, however, it's not documented yet.
If you are not familar with the topic of data-based modelling take a look here.
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This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation as version 2.
This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fittness for a particular purpose. See the GNU General Public License which is shipped with the program for more details.
The PNC2 cluster algorithm was developed while I was a scholarship holder in the post graduate research program Modelling and Model-Based Design of Complex Technological Systems at the Chair of Electrical Control Engineering at the University of Dortmund, Germany. My research project was initiated by Prof. Dr. rer. nat. H. Kiendl. The post graduate research program was founded by the Deutsche Forschungsgemeinschaft (DFG).
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last updated: 22 January 2004 © 2000-2004 by Lars Haendel