S. Abe, M. S. Lan and R. Thawonmas, "Tuning of a Fuzzy Classifier Derived from Data", Proceedings of the Third IEEE Conferfence on Fuzzy Systems, Orlando, Florida, June 26-29, 1994, vol. II, pp. 786-791. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Generating Classification Rules with the Neuro-Fuzzy System.. - Nauck, Nauck, Kruse (1996) (7 citations) (Correct)
....: R k . NEFCLASS does not induce fuzzy classification rules by searching for clusters, but by modifying the fuzzy partitionings defined on each single dimension. Other approaches for the generation of fuzzy rules from data usually search for hyper ellipsoidal [6] or hyper rectangular clusters [1, 2, 12]. Fuzzy sets are This paper appears in: Proc. Biennial Conf. of the North American Fuzzy Information Processing Society (NAFIPS 96) Berkeley, 1996. then constructed by projecting the clusters. In the case of hyper ellipsoidal clusters the projection causes a loss of information which is ....
Shigeo Abe, Ming-Shong Lan, and Ruck Thawonmas. Tuning of a fuzzy classifier derived from data. Int. J. Approximate Reasoning, 14(1):1--24, January 1996.
New Learning Strategies for NEFCLASS - Nauck, Kruse (1997) (2 citations) (Correct)
....: R k . NEFCLASS does not induce fuzzy classification rules by searching for clusters, but by modifying the fuzzy partitionings defined on each single dimension. Other approaches for the generation of fuzzy rules from data usually search for hyper ellipsoidal [3] or hyper rectangular clusters [1, 2, 8]. Fuzzy sets are then constructed by projecting the clusters. In the case of hyper ellipsoidal clusters the projection causes a loss of information which is avoided, when hyper rectangular clusters are used. However, in both cases the induced fuzzy rules are sometimes not easy to interpret. ....
Shigeo Abe, Ming-Shong Lan, and Ruck Thawonmas. Tuning of a fuzzy classifier derived from data. Int. J. Approximate Reasoning, 14(1):1--24, January 1996.
Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification - Sampan (Correct)
No context found.
S. Abe, M. S. Lan and R. Thawonmas, "Tuning of a Fuzzy Classifier Derived from Data", Proceedings of the Third IEEE Conferfence on Fuzzy Systems, Orlando, Florida, June 26-29, 1994, vol. II, pp. 786-791.
A Neuro-Fuzzy Bibliography - Nauck (1996) (Correct)
No context found.
S. Abe, M.-S. Lan and R. Thawonmas (1996). Tuning of a Fuzzy Classifier Derived from Data. Int. J. Approximate Reasoning, 14(1):1--24.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC