An approach to rule-based knowledge extraction
Jin Y, von Seelen W, Sendhoff B (1998)
In: 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228)., 2. IEEE: 1188-1193.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Jin, YaochuUniBi 
;
von Seelen, W.;
Sendhoff, B.
;
von Seelen, W.;
Sendhoff, B.Abstract / Bemerkung
The extraction of easily interpretable knowledge from the large amount of data measured in experiments is very desirable. This paper proposes a method to achieve this. A fuzzy rule system is first generated and optimized using evolution strategies. This fuzzy system is then converted to an RBF neural network to refine the obtained knowledge. In order to extract understandable fuzzy rules from the trained RBF network, a neural network regularization technique called adaptive weight sharing is developed. Simulation results on the Mackey-Glass system show that the proposed approach to knowledge extraction is effective and practical.
Erscheinungsjahr
1998
Titel des Konferenzbandes
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228)
Band
2
Seite(n)
1188-1193
Konferenz
1998 IEEE International Conference on Fuzzy Systems IEEE World Congress on Computational Intelligence
Konferenzort
Anchorage, AK, USA
Konferenzdatum
1998-05-04 – 1998-05-09
ISBN
0-7803-4863-X
Page URI
https://pub.uni-bielefeld.de/record/3005659
Zitieren
Jin Y, von Seelen W, Sendhoff B. An approach to rule-based knowledge extraction. In: 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228). Vol 2. IEEE; 1998: 1188-1193.
Jin, Y., von Seelen, W., & Sendhoff, B. (1998). An approach to rule-based knowledge extraction. 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2, 1188-1193. IEEE. https://doi.org/10.1109/FUZZY.1998.686287
Jin, Yaochu, von Seelen, W., and Sendhoff, B. 1998. “An approach to rule-based knowledge extraction”. In 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2:1188-1193. IEEE.
Jin, Y., von Seelen, W., and Sendhoff, B. (1998). “An approach to rule-based knowledge extraction” in 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), vol. 2, (IEEE), 1188-1193.
Jin, Y., von Seelen, W., & Sendhoff, B., 1998. An approach to rule-based knowledge extraction. In 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228). no.2 IEEE, pp. 1188-1193.
Y. Jin, W. von Seelen, and B. Sendhoff, “An approach to rule-based knowledge extraction”, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), vol. 2, IEEE, 1998, pp.1188-1193.
Jin, Y., von Seelen, W., Sendhoff, B.: An approach to rule-based knowledge extraction. 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228). 2, p. 1188-1193. IEEE (1998).
Jin, Yaochu, von Seelen, W., and Sendhoff, B. “An approach to rule-based knowledge extraction”. 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228). IEEE, 1998.Vol. 2. 1188-1193.
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