-
1
-
-
0029484103
-
Survey and critique of techniques for extracting rules from trained artificical neural networks
-
R. Andrews, J. Diederich, and A.B. Tickle. Survey and critique of techniques for extracting rules from trained artificical neural networks. Knowledge Based Systems, 8: 378-389, 1995.
-
(1995)
Knowledge Based Systems
, vol.8
, pp. 378-389
-
-
Andrews, R.1
Diederich, J.2
Tickle, A.B.3
-
5
-
-
84958950191
-
Data mining using dynamically constructed recurrent fuzzy neural networks
-
Springer-Verlag, Berlin
-
Y. Frayman and L. Wang. Data mining using dynamically constructed recurrent fuzzy neural networks. In Research and Development in Knowledge Discovery and Data Mining, pages 122-131. Springer-Verlag, Berlin, 1998.
-
(1998)
Research and Development in Knowledge Discovery and Data Mining
, pp. 122-131
-
-
Frayman, Y.1
Wang, L.2
-
8
-
-
84949188149
-
Formal logics of discovery and hypothesis formation by machine
-
Springer-Verlag, Tokyo
-
P. Hájek and M. Holeňa. Formal logics of discovery and hypothesis formation by machine. In Discovery Science, pages 291-302. Springer-Verlag, Tokyo, 1998.
-
(1998)
Discovery Science
, pp. 291-302
-
-
Hájek, P.1
Holeňa, M.2
-
10
-
-
0031140465
-
Acquiring rule sets as a product of learning in a logical neural architecture
-
M.J. Healy and T.P. Caudell. Acquiring rule sets as a product of learning in a logical neural architecture. IEEE Transactions on Neural Networks, 8: 461-474, 1997.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, pp. 461-474
-
-
Healy, M.J.1
Caudell, T.P.2
-
11
-
-
0002647748
-
Exploratory data processing using a fuzzy generalization of the Guha approach
-
John Wiley and Sons, New York
-
M. Holeňa. Exploratory data processing using a fuzzy generalization of the Guha approach. In Fuzzy Logic, pages 213-229. John Wiley and Sons, New York, 1996.
-
(1996)
Fuzzy Logic
, pp. 213-229
-
-
Holeňa, M.1
-
12
-
-
0001181941
-
Fuzzy hypotheses for Guha implications
-
M. Holeňa. Fuzzy hypotheses for Guha implications. Fuzzy Sets and Systems, 98: 101-125, 1998.
-
(1998)
Fuzzy Sets and Systems
, vol.98
, pp. 101-125
-
-
Holeňa, M.1
-
13
-
-
0012416252
-
Traditional and modern artificial intelligence explores ecological data
-
M. Holeňa. Traditional and modern artificial intelligence explores ecological data. In STeP 2000: Millenium of Artificial Intelligence, 2000.
-
(2000)
STeP 2000: Millenium of Artificial Intelligence
-
-
Holeňa, M.1
-
14
-
-
0012374713
-
Statistical, logic-based, and neural networks based methods for mining rules from data
-
NATO Science Series Publishers, to appear
-
M. Holeňa. Statistical, logic-based, and neural networks based methods for mining rules from data. In Multisensor and Sensor Data Fusion. NATO Science Series Publishers, to appear.
-
Multisensor and Sensor Data Fusion
-
-
Holeňa, M.1
-
16
-
-
0012440227
-
Logical calculi for knowledge discovery in databases
-
Springer-Verlag, Berlin
-
J. Rauch. Logical calculi for knowledge discovery in databases. In Principles of Data Mining and Knowledge Discovery, pages 47-57. Springer-Verlag, Berlin, 1997.
-
(1997)
Principles of Data Mining and Knowledge Discovery
, pp. 47-57
-
-
Rauch, J.1
-
18
-
-
0030631792
-
Extracting rules from neural networks by pruning and hidden unit splitting
-
R. Setiono. Extracting rules from neural networks by pruning and hidden unit splitting. Neural Computation, 9: 205-225, 1997.
-
(1997)
Neural Computation
, vol.9
, pp. 205-225
-
-
Setiono, R.1
-
19
-
-
0032208720
-
The truth is there: Directions and challenges in extracting rules from trained artificial neural networks
-
A.B. Tickle, R. Andrews, M. Golea, and J. Diederich. The truth is there: Directions and challenges in extracting rules from trained artificial neural networks. IEEE Transactions on Neural Networks, 9: 1058-1068, 1998.
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
, pp. 1058-1068
-
-
Tickle, A.B.1
Andrews, R.2
Golea, M.3
Diederich, J.4
-
20
-
-
0027678679
-
Extracting refined rules from knowledge-based neural networks
-
G.G. Towell and J.W. Shavlik. Extracting refined rules from knowledge-based neural networks. Machine Learning, 13: 71-101, 1993.
-
(1993)
Machine Learning
, vol.13
, pp. 71-101
-
-
Towell, G.G.1
Shavlik, J.W.2
|