3. Logic-Oriented Neurocomputing
Published Online: 27 JAN 2005
Copyright © 2005 John Wiley & Sons, Inc.
Knowledge-Based Clustering: From Data to Information Granules
How to Cite
Pedrycz, W. (2005) Logic-Oriented Neurocomputing, in Knowledge-Based Clustering: From Data to Information Granules, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471708607.ch3
- Published Online: 27 JAN 2005
- Published Print: 7 JAN 2005
Print ISBN: 9780471469667
Online ISBN: 9780471708605
- fuzzy (logic-based) neurons;
- aggregative neurons;
- referential neurons;
- architecture of networks;
- Interfaces of logic processing
Presented is a general architecture, processing and learning in logic-oriented neural networks. These networks are composed of transparent neurons such as aggregative (AND and OR) and referential (dominance, inclusion, similarity) neurons leading to a logic description of experimental data. The chapter addresses an essential issue of forming communication interfaces between logic neurocomputing and real-world data.