Rule extraction from dynamic cell structure neural networks used in a safety critical application

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004

Volumn 2, Issue , 2004, Pages 629-634

  Darrah, Marjorie ^a   Taylor, Brian ^a   Skias, Spiro ^a  

^a Institute for Scientific Research Incorporated   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DYNAMIC CELL STRUCTURE (DCS) NEURAL NETWORK; INTELLIGENT FLIGHT CONTROL (IFC) SYSTEMS; RULE EXTRACTION;

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; AUTONOMOUS AGENTS; BACKPROPAGATION; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; INTELLIGENT CONTROL; KNOWLEDGE BASED SYSTEMS; REAL TIME SYSTEMS; SAFETY FACTOR;

SELF ORGANIZING MAPS;

EID: 10044236730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Towell, G and J. Shavlik. 1993. The extraction of refined rules from knowledge based neural networks. Machine Learning 13(1):71-101.
2. Thrun, Sebastian B. 1993. Extracting Provably Correct Rules from Artificial Neural Networks, Technical Report IAI-TR-93-5, Institute fur Informatics III, Universität Bonn.
3. Andrews, Robert; J. Diederich; and A. B. Tickle. 1995. A Survey and Critique Of Techniques For Extracting Rules From Trained Artificial Neural Networks. Knowledge Based Systems 8:373-389.
4. Carpenter, A and A.H. Tan. Rule extraction: from neural architecture to symbolic representation. Connection Science 7(1):3-27.
5. Wettayaprasit, Wiphada and Chidchanok Lursinsap. 2002. Neural Rule Extraction based on Activation Projection with Certainty Factor Refinement. In Proceedings of IEEE World Congress on Computational Intelligence.
6. Andrews, R. and S.Geva. 1995. RULEX & CEBP networks as the basis for a rule refinement system. In Hybrid Problems, Hybrid Solutions, ed. John Hallam. IOS Press. 1-12
7. Andrews, R and S. Geva. 2002. Rule Extraction From Local Cluster Neural Nets. Neurocomputing 47:1-20.
8. McGarry, Kenneth, John Tait, Stefan Wermter, and John McIntyre. 1999. Rule-Extraction from Radial Basis Function Networks. In Proceedings of International Conference on Artificial Neural Networks 1:613-618. Edinburgh, Scotland.
9. McGarry, Kenneth, Stefan Wermter and John Macintyre. 2001. The Extraction and Comparison of Knowledge from Local Function Networks, International Journal of Computational Intelligence and Applications 1(3): 369-382.
10. Fisher, A. 1936. Annals of Eugenics 7:179-188.
11. Song, Yongkyu, Giampiero Campa, Marcello R. Napolitano, Brad Seanor, Mario G. Perhinschi. 2002. On-Line Parameter Estimation Techniques Comparison Within a Fault Tolerant Flight Control System. AIAA Journal of Guidance, Control, and Dynamics 25(3):528-537.
12. Jorgensen, Charles C. 1997. Direct Adaptive Aircraft Control Using Dynamic Cell Structure Neural Networks.
13. NASA Technical Memorandum 112198, NASA Ames Research Center.
14. Bruske, Jorg and Gerald Sommer. 1994. Dynamic Cell Structures. In Proceedings of Neural Information Processing Systems (NIPS), 497-504.
15. Fritzke, B. 1994. Growing Cell-Structures - a Self-Organizing Network for Unsupervised and Supervised Learning, Neural Networks, 7(9): 1441-1460.
16. Martinetz, T. M. 1993. Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps. In Proceedings of International Conference on Artificial Neural Networks (ICANN) 427-434. Amsterdam: Springer.
17. Perhinschi, M. G., G. Campa, M. R. Napolitano, M. Lando, L. Massotti, and M.L. Fravolini. Modeling and Simulation of a Closed Loop Aircraft/Fault Tolerant Control System. Submitted to: International Journal of Modeling and Simulation.
18. Institute for Scientific Research, Inc. (ISR). 2002. Toward Reliable Neural Network Software for The Development of Methodologies for the Independent Verification of Neural Networks. IVVNN-LITREV-F001-UNCLASS-11120
19. Institute for Scientific Research, Inc. (ISR). 2001. Software and Interface Requirements Document (SIRS). IFC-SIRS-F004-UNCLASS-051501
20. Institute for Scientific Research, Inc. (ISR). 2001. Interface Control Document (ICD). IFC-ICD-F008-UNCLASS-01150.