Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ming-Shong Lan"'
Autor:
Ming-Shong Lan, Shigeo Abe
Publikováno v:
IEEE Transactions on Fuzzy Systems. 3:18-28
In this paper, we discuss a new method for extracting fuzzy rules directly from numerical input-output data for pattern classification. Fuzzy rules with variable fuzzy regions are defined by activation hyperboxes which show the existence region of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6bc2f3626ba01123decd50f11c1910
https://doi.org/10.1109/91.366565
https://doi.org/10.1109/91.366565
Autor:
Shigeo Abe, Ming-Shong Lan
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics. 25:119-129
In our previous work (1993) we developed a method for extracting fuzzy rules directly from numerical input-output data for pattern classification. In this paper we extend the method to function approximation. For function approximation, first, the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af552989ec399c2194bdcbbedc0f643
https://doi.org/10.1109/21.362960
https://doi.org/10.1109/21.362960
Autor:
Ming-Shong Lan, Shigeo Abe
Publikováno v:
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).
In their previous work (1993) the authors developed a method for extracting fuzzy rules directly from numerical input-output data for pattern classification. In this paper they extend the method to function approximation. For function approximation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c352bffff8ddf6f1cd23d656e1f7f7
https://doi.org/10.1109/ijcnn.1993.717024
https://doi.org/10.1109/ijcnn.1993.717024
Autor:
R.K. Elsley, Ming-Shong Lan
Publikováno v:
Twenty-Second Asilomar Conference on Signals, Systems and Computers.
Neural network-based control architectures have been developed that can autonomously learn to perform kinematic and dynamic control of unknown systems and/or adapt to systems that change over time. Kinematic control of non-linear, time varying system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eadbc9ec8725c186266145b98f9887c
https://doi.org/10.1109/acssc.1988.754596
https://doi.org/10.1109/acssc.1988.754596
Autor:
Shigeo Abe, Ming-Shong Lan
Publikováno v:
Proceedings. The First IEEE Regional Conference on Aerospace Control Systems.
This paper discusses new method for extracting fuzzy rules directly from numerical input-output data. The method was first developed for pattern classification and then was extended for function approximation. The fuzzy rules with variable fuzzy regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d171a669bd3e4965385dde83e904806
https://doi.org/10.1109/aerocs.1993.720908
https://doi.org/10.1109/aerocs.1993.720908
Publikováno v:
Journal of Engineering for Industry. 116:274-276
This paper investigates the use of artificial neural networks (ANNs) for modeling and control of the lithographic offset color printing process. The color controller consists of two ANNs; the controller network, which learns an inverse model of the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df2544c11807212a6fb602ff6babdd2e
https://doi.org/10.1115/1.2901942
https://doi.org/10.1115/1.2901942
Publikováno v:
Scopus-Elsevier
This paper describes a character recognition method based on fuzzy rules extracted directly from training data. The fuzzy rules with variable fuzzy regions are defined by activation hyperboxes which show the existence regions of data for a given clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::956b1537a2ff41193251cc1a69b35be9
https://doi.org/10.1109/fuzzy.1994.343750
https://doi.org/10.1109/fuzzy.1994.343750
Autor:
Ming-Shong Lan
Publikováno v:
1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.
A tracking control architecture based on artificial neural networks is described. The architecture comprises two separate multilayer feedforward networks with tapped delay lines. One network is trained to represent the forward dynamic model of an unk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcca3cbd44246a6b1244cdf3ce48459b
https://doi.org/10.1109/icsmc.1990.142053
https://doi.org/10.1109/icsmc.1990.142053
Publikováno v:
Scopus-Elsevier
In this paper, we develop a novel method for tuning the sensitivity parameters of membership functions used in fuzzy classifiers created from numerical data. In the proposed method, tuning is done by solving a set of inequalities. Therefore, we first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d90db0c61638901faee956459c1332f
https://doi.org/10.1109/fuzzy.1995.409899
https://doi.org/10.1109/fuzzy.1995.409899
Autor:
Elsley, R.K., Ming-Shong Lan
Publikováno v:
Twenty-Second Asilomar Conference on Signals, Systems & Computers; 1988, Issue 2, p517-522, 6p