-
1
-
-
42149117364
-
-
A.B. Tickle, M. Orlowski and J. Diederich. Dedec: decision detection by rule extraction from neural networks. Technical Report NRC QUT September 1994, Queensland University, 1994.
-
A.B. Tickle, M. Orlowski and J. Diederich. Dedec: decision detection by rule extraction from neural networks. Technical Report NRC QUT September 1994, Queensland University, 1994.
-
-
-
-
2
-
-
42149153157
-
The connectionist scientist game: Rule extraction and refinement in a neural, network
-
NJ, USA
-
C. McMillan, M.C. Mozer and P. Smolensky, The connectionist scientist game: rule extraction and refinement in a neural, network. In Proc. 13th Annual Conference of the Cognitive Science Society. Hillsdale, NJ, USA, 1995.
-
(1995)
Proc. 13th Annual Conference of the Cognitive Science Society. Hillsdale
-
-
McMillan, C.1
Mozer, M.C.2
Smolensky, P.3
-
3
-
-
42149141081
-
-
E. Pop, R. Hayward and J. Diederich, Ruleneg: extracting rules from a trained ann by stepwise negation. Technical. Report NRC QUT December 1994, Queensland University, 1994.
-
E. Pop, R. Hayward and J. Diederich, Ruleneg: extracting rules from a trained ann by stepwise negation. Technical. Report NRC QUT December 1994, Queensland University, 1994.
-
-
-
-
4
-
-
0027678679
-
The extraction of refined rules from knowledge based neural networks
-
G. Towell and J. Shavlik, The extraction of refined rules from knowledge based neural networks, Machine Learning 131 (1993), 71-101.
-
(1993)
Machine Learning
, vol.131
, pp. 71-101
-
-
Towell, G.1
Shavlik, J.2
-
6
-
-
20444503352
-
The approximation of piecewise linear membership functions and Łukasiewicz operators
-
J. Dombi and Z. Gera, The approximation of piecewise linear membership functions and Łukasiewicz operators, Fuzzy Sets and Systems 154 (2005), 275-286.
-
(2005)
Fuzzy Sets and Systems
, vol.154
, pp. 275-286
-
-
Dombi, J.1
Gera, Z.2
-
8
-
-
0042799215
-
Inserting and extracting knowledge from constrained error back propagation networks
-
Sydney
-
R. Andrews and S. Geva, Inserting and extracting knowledge from constrained error back propagation networks. In Proc. 6th Australian Conference on Neural Networks, Sydney, 1995.
-
(1995)
Proc. 6th Australian Conference on Neural Networks
-
-
Andrews, R.1
Geva, S.2
-
9
-
-
42149170463
-
-
S.B. Thrun, Extracting provably correct rules from artificial neural networks. Technical Report IAI-TR-93-5, Institut for Informatik III Universitat Bonn, Germany, 1994.
-
S.B. Thrun, Extracting provably correct rules from artificial neural networks. Technical Report IAI-TR-93-5, Institut for Informatik III Universitat Bonn, Germany, 1994.
-
-
-
-
10
-
-
0036888743
-
Extract intelligible and concise fuzzy rules from neural networks
-
S. Huang and H. Xing, Extract intelligible and concise fuzzy rules from neural networks, Fuzzy Sets and Systems 132 (2002), 233-243.
-
(2002)
Fuzzy Sets and Systems
, vol.132
, pp. 233-243
-
-
Huang, S.1
Xing, H.2
-
11
-
-
11244260207
-
Automated knowledge acquisition of mies with, continuously valued attributes
-
Avignon, France
-
S. Sestino and T. Dillon, Automated knowledge acquisition of mies with, continuously valued attributes. In Proc. 12th International Conference on Expert Systems and their Applications, Avignon, France, 1992, 645-656.
-
(1992)
Proc. 12th International Conference on Expert Systems and their Applications
, pp. 645-656
-
-
Sestino, S.1
Dillon, T.2
-
12
-
-
11244261191
-
Genetically optimized logic models
-
W. Pedrycz and M. Reformat, Genetically optimized logic models, Fuzzy Sets and Systems 150 (2005), 351-371.
-
(2005)
Fuzzy Sets and Systems
, vol.150
, pp. 351-371
-
-
Pedrycz, W.1
Reformat, M.2
|