-
1
-
-
0000138466
-
Template-based algorithm for connectionist rule extraction
-
Tesauro G., Touretzky D., and Leen T. (Eds), MIT Press, Cambridge, MA
-
Alexander J.A., and Mozer M.C. Template-based algorithm for connectionist rule extraction. In: Tesauro G., Touretzky D., and Leen T. (Eds). Advances in Neural Information Processing Systems vol. 7 (1995), MIT Press, Cambridge, MA
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
-
-
Alexander, J.A.1
Mozer, M.C.2
-
2
-
-
0029484103
-
Critique of techniques for extracting rules from trained artificial neural networks
-
Andrews R., Diederich J., Tickle A.B., and Survey A. Critique of techniques for extracting rules from trained artificial neural networks. Knowledge Based Sys. 8 6 (1995) 373-389
-
(1995)
Knowledge Based Sys.
, vol.8
, Issue.6
, pp. 373-389
-
-
Andrews, R.1
Diederich, J.2
Tickle, A.B.3
Survey, A.4
-
3
-
-
0001784651
-
An Overview of Combinatorial Data Analysis
-
Arabie P., Hubert L.J., and DeSoete G. (Eds), World Scientific, Singapore (Chapter 1)
-
Arabie P., and Hubert L.J. An Overview of Combinatorial Data Analysis. In: Arabie P., Hubert L.J., and DeSoete G. (Eds). Clustering and Classification (1999), World Scientific, Singapore (Chapter 1)
-
(1999)
Clustering and Classification
-
-
Arabie, P.1
Hubert, L.J.2
-
4
-
-
33751003135
-
-
R. Baron, Knowledge extraction from neural networks: A survey, in: Report no. 94-17, Laboratoire de l'Informatique du Parallélisme, Ecole Normale Supérieure de Lyon, 1994.
-
-
-
-
6
-
-
33750975524
-
-
M.W. Craven, J.W. Shavlik, Extracting tree-structured representations of trained networks, Advances in Neural Information Processing Systems, vol. 8, MIT Press, Cambridge, MA, 1996, pp. 24-30.
-
-
-
-
7
-
-
33750974640
-
-
M.W. Craven, J.W. Shavlik, Using sampling and queries to extract rules from trained neural networks, in: Proceedings of the 11th International Conference on Machine Learning, San Francisco CA, 1994.
-
-
-
-
8
-
-
0031915593
-
Dynamic on-line clustering and state extraction: an approach to symbolic learning
-
Das S., and Mozer M. Dynamic on-line clustering and state extraction: an approach to symbolic learning. Neural Networks 11 1 (1998) 53-64
-
(1998)
Neural Networks
, vol.11
, Issue.1
, pp. 53-64
-
-
Das, S.1
Mozer, M.2
-
9
-
-
0005088823
-
Extraction of logical rules from training data using backpropagation networks
-
Duch W., Adamczak R., and Grabczewski K. Extraction of logical rules from training data using backpropagation networks. Neural Process. Lett. 7 (1998) 1-9
-
(1998)
Neural Process. Lett.
, vol.7
, pp. 1-9
-
-
Duch, W.1
Adamczak, R.2
Grabczewski, K.3
-
10
-
-
33750966623
-
-
W. Duch, R. Adamczak, K. Grabczewski, M. Ishikawa, H. Ueda, Extraction of crisp logical rules using constrained backpropagation networks, in: Proceedings of the European Symposium on Artificial Neural Networks, Bruge, 1997.
-
-
-
-
11
-
-
85131711173
-
-
W. Duch, R. Adamczak, K. Grabczewski, Optimization of Logical Rules Derived by Neural Procedures, in: Proceedings of the International Joint Conference on Neural Networks, Washington. DC, July, 1999.
-
-
-
-
13
-
-
0141578371
-
A new methodology of extraction
-
Duch W., Adamczak R., and Grabczwski K. A new methodology of extraction. optimization and application of crisp and fuzzy logical rules, IEEE Trans. Neural Networks 11 2 (2000) 1-31
-
(2000)
optimization and application of crisp and fuzzy logical rules, IEEE Trans. Neural Networks
, vol.11
, Issue.2
, pp. 1-31
-
-
Duch, W.1
Adamczak, R.2
Grabczwski, K.3
-
16
-
-
0028482883
-
Rule generation from neural networks
-
Fu L. Rule generation from neural networks. IEEE Trans. Syst. Man Cybern 24 8 (1994) 1114-1124
-
(1994)
IEEE Trans. Syst. Man Cybern
, vol.24
, Issue.8
, pp. 1114-1124
-
-
Fu, L.1
-
18
-
-
0027245159
-
Knowledge-based connectionism for revising domain theories
-
Fu L. Knowledge-based connectionism for revising domain theories. IEEE Trans. Syst. Man Cybern. 23 1 (1993) 173-182
-
(1993)
IEEE Trans. Syst. Man Cybern.
, vol.23
, Issue.1
, pp. 173-182
-
-
Fu, L.1
-
19
-
-
0023962833
-
Connectionist expert systems
-
Gallant S.I. Connectionist expert systems. Commun. ACM 31 2 (1988) 152-169
-
(1988)
Commun. ACM
, vol.31
, Issue.2
, pp. 152-169
-
-
Gallant, S.I.1
-
21
-
-
0035127989
-
Symbolic knowledge extraction from trained neural networks: a sound approach
-
Garcez A.S.D., Broda K., and Gabbay D.M. Symbolic knowledge extraction from trained neural networks: a sound approach. Artif. Intell. 125 (2001) 155-207
-
(2001)
Artif. Intell.
, vol.125
, pp. 155-207
-
-
Garcez, A.S.D.1
Broda, K.2
Gabbay, D.M.3
-
23
-
-
33750996580
-
-
M. Golea, On the complexity of rule-extraction from neural networks and network-querying, in: Proceedings of the Rule Extraction from Trained Artificial Neural Networks Workshop, University of Sussex, Brighton, UK, 1996, pp. 51-59.
-
-
-
-
24
-
-
0034333688
-
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
-
Hayashi Y., Setiono R., and Yoshida K. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intell. Med. 20 (2000) 205-216
-
(2000)
Artif. Intell. Med.
, vol.20
, pp. 205-216
-
-
Hayashi, Y.1
Setiono, R.2
Yoshida, K.3
-
26
-
-
33750986659
-
-
C. Hermann, A. Their, Backpropagation for neural DNF- and CNF-networks, Technical Report, FG Intellektik, TH Darmstadt, Germany, 1996.
-
-
-
-
27
-
-
2942670919
-
-
E.R. Hruschka, N.F.F. Ebecken, A clustering genetic algorithm for extracting rules from multilayer perceptrons trained in classification problems. In: A. Zanasi, et al. (ed.), Data Mining, vol. III, Southampton,UK, 2002. pp. 451-460.
-
-
-
-
28
-
-
0012176385
-
A clustering genetic algorithm for extracting rules from supervised neural network models in data mining tasks
-
(Special Issue: Knowledge Discovery from Structured and Unstructured Data)
-
Hruschka E.R., and Ebecken N.F.F. A clustering genetic algorithm for extracting rules from supervised neural network models in data mining tasks. Int. J. Comput. Syst. Signals (IJCSS) 1 1 (2000) 17-29 (Special Issue: Knowledge Discovery from Structured and Unstructured Data)
-
(2000)
Int. J. Comput. Syst. Signals (IJCSS)
, vol.1
, Issue.1
, pp. 17-29
-
-
Hruschka, E.R.1
Ebecken, N.F.F.2
-
29
-
-
0033685227
-
-
E.R. Hruschka, N.F.F. Ebecken, Applying a clustering genetic algorithm for extracting rules from a supervised neural network, in: Proceedings of the IEEE International Joint Conference on Neural Networks, Como, Italy, 2000.
-
-
-
-
30
-
-
85131704007
-
-
E.R. Hruschka, N.F.F. Ebecken, Rule extraction from neural networks: modified RX algorithm, in: Proceedings of the IEEE International Joint Conference on Neural Networks, Washington DC, USA, 1999.
-
-
-
-
31
-
-
16244393822
-
-
E.R. Hruschka, N.F.F. Ebecken, Using a clustering genetic algorithm for rule extraction from artificial neural networks, in: Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, San Antonio, TX, USA, 2000.
-
-
-
-
32
-
-
2942695509
-
A genetic algorithm for cluster analysis
-
Hruschka E.R., and Ebecken N.F.F. A genetic algorithm for cluster analysis. Intell. Data Anal. 7 1 (2003) 15-25
-
(2003)
Intell. Data Anal.
, vol.7
, Issue.1
, pp. 15-25
-
-
Hruschka, E.R.1
Ebecken, N.F.F.2
-
33
-
-
33750968074
-
-
E.R. Hruschka, N.F.F. Ebecken, Rules from supervised neural network in data mining tasks. In: J.M. Abbe, J.I. da Silva Filho, (eds.), Frontiers in Artificial Intelligence and Applications, vol. 71, Amsterdam, 2001, pp. 84-100.
-
-
-
-
34
-
-
0036079844
-
-
Y. Jiang, Z. Zhou, Z. Chen, Z., Rule learning based on neural network ensemble, in: Proceedings of the International Joint Conference on Neural Networks, Honolulu, 2002, pp. 1416-1420.
-
-
-
-
35
-
-
33751001514
-
-
R. Kane, M. Milgram, Extraction of semantic rules from trained neural networks, in: Proceedings of the ICNN, San Francisco, CA, 1993.
-
-
-
-
36
-
-
33750977452
-
-
L. Kaufman, P. J. Rousseeuw, Finding Groups in Data-An Introduction to Cluster Analysis, Wiley Series in Probability and Mathematical Statistics, 1990.
-
-
-
-
38
-
-
33750978871
-
-
B. Liu, W. Hsu, Ma Yiming, Pruning and summarizing the discovered associations, in: Proceedings of the ACM International Conference on Knowledge Discovery & Data Mining, San Diego, CA, USA, 1999, pp. 125-134.
-
-
-
-
39
-
-
0034262326
-
-
B. Liu, W. Hsu, S. Chen, Ma Yiming, Analyzing the Subjective Interestingness of Association Rules, IEEE Intell. Syst. (2000) 47-55.
-
-
-
-
42
-
-
85049501264
-
-
T.B. Ludermir, Extracting Rules from Feedforward Boolean Neural Networks, in: Proceedings of the V Brazilian Symposium on Neural Networks, 1998, pp. 61-65.
-
-
-
-
43
-
-
0000246504
-
Rule Induction through Integrated Symbolic and Subsymbolic Processing
-
Moody J.E., Hanson S.J., and Lippmann R.P. (Eds), Morgan Kaufmann Publishers, Los Allos
-
McMillan C., Mozer M.C., and Smolenski P. Rule Induction through Integrated Symbolic and Subsymbolic Processing. In: Moody J.E., Hanson S.J., and Lippmann R.P. (Eds). Advances in Neural Processing Systems vol. IV (1992), Morgan Kaufmann Publishers, Los Allos 969-976
-
(1992)
Advances in Neural Processing Systems
, vol.IV
, pp. 969-976
-
-
McMillan, C.1
Mozer, M.C.2
Smolenski, P.3
-
44
-
-
33750986968
-
-
C. J. Merz, P. M. Murphy, UCI repository of machine learning databases, Department of Information and Computer Science, University of California, Irvine. www.ics.uci.edu.
-
-
-
-
45
-
-
0003362820
-
Dataset descriptions and results
-
Michie D., Spiegelhalter D.J., and Taylor C.C. (Eds), Bookcraft, Midsomer Norton
-
Nakhaeizadeh G., Kressel U., Keh S., et al. Dataset descriptions and results. In: Michie D., Spiegelhalter D.J., and Taylor C.C. (Eds). Machine Learning, Neural and Statistical Classification, Ellis Horwood Series in Artificial Intelligence (1994), Bookcraft, Midsomer Norton 131-174
-
(1994)
Machine Learning, Neural and Statistical Classification, Ellis Horwood Series in Artificial Intelligence
, pp. 131-174
-
-
Nakhaeizadeh, G.1
Kressel, U.2
Keh, S.3
-
46
-
-
0029236388
-
-
H. Narazaki, I. Shigaki, T. Watanabe, A Method for Extracting Approximate Rules from Neural Network, in: Proceedings of the Fourth IEEE International Conference on Fuzzy Systems and Second International Fuzzy Engineering Symposium, Yokohama, Japan, 1995.
-
-
-
-
47
-
-
0030085145
-
Re-organizing knowledge in neural networks: an explanatory mechanism for neural networks in data classification problems
-
Narazaki H., Watanabe T., and Yamamoto M. Re-organizing knowledge in neural networks: an explanatory mechanism for neural networks in data classification problems. IEEE Trans. Syst. Man Cybern. 26 1 (1996) 107-117
-
(1996)
IEEE Trans. Syst. Man Cybern.
, vol.26
, Issue.1
, pp. 107-117
-
-
Narazaki, H.1
Watanabe, T.2
Yamamoto, M.3
-
48
-
-
0030083072
-
Rule revision with recurrent neural networks
-
Omlin C.W., and Giles C.L. Rule revision with recurrent neural networks. IEEE Trans Knowledge Data Eng 8 1 (1996) 183-188
-
(1996)
IEEE Trans Knowledge Data Eng
, vol.8
, Issue.1
, pp. 183-188
-
-
Omlin, C.W.1
Giles, C.L.2
-
49
-
-
0032218794
-
-
V. Palade, S. Bumbaru, M.G. Negoita, A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approach, in: Proceedings of the Second IEEE International Conference on Knowledge-Based Intelligent Electronic Systems 2 (1998), pp. 353-358.
-
-
-
-
50
-
-
84883800261
-
Interpretation of trained neural networks by rule extraction
-
Reusch B. (Ed), Springer, Berlin
-
Palade V., Neagu D., and Patton R.J. Interpretation of trained neural networks by rule extraction. In: Reusch B. (Ed). Lecture Notes in Computer Science (LNCS 2206), Computational Intelligence: Theory and Applications (2001), Springer, Berlin 152-161
-
(2001)
Lecture Notes in Computer Science (LNCS 2206), Computational Intelligence: Theory and Applications
, pp. 152-161
-
-
Palade, V.1
Neagu, D.2
Patton, R.J.3
-
51
-
-
0033650602
-
-
V. Palade, D. Neagu, G. Puscasu, Rule extraction from neural networks by interval propagation, in: Proceedings of the Fourthh IEEE International Conference on Knowledge-Based Intelligent Engineering Systems, Brighton-UK, 2000, pp. 217-220.
-
-
-
-
52
-
-
84883766064
-
-
V. Palade, M. G. Negoita, V. Ariton, Genetic algorithm optimization of knowledge extraction from neural networks, in: Proceedings of the Sixth IEEE International Conference on Neural Information Processing (ICONIP99), vol. 2, Perth, Australia, 1999, pp. 752-758.
-
-
-
-
53
-
-
33751019348
-
-
Y. Park, M. Song, A genetic algorithm for clustering problems, in: Proceedings of the Genetic Programming Conference, University of Wisconsin, July, 1998.
-
-
-
-
54
-
-
0030364367
-
Multi-valued logic mapping of neurons in feed-forward networks
-
Sethi I., and Yoo J. Multi-valued logic mapping of neurons in feed-forward networks. Eng Intell. Syst. 4 4 (1996) 243-253
-
(1996)
Eng Intell. Syst.
, vol.4
, Issue.4
, pp. 243-253
-
-
Sethi, I.1
Yoo, J.2
-
55
-
-
85013539434
-
Symbolic approximation of feedforward neural networks
-
Gelsema E.S., and Kanal L.N. (Eds), North-Holland, Amsterdam
-
Sethi I., and Yoo J.H. Symbolic approximation of feedforward neural networks. In: Gelsema E.S., and Kanal L.N. (Eds). Pattern Recognition in Practice vol. IV (1994), North-Holland, Amsterdam 313-324
-
(1994)
Pattern Recognition in Practice vol. IV
, pp. 313-324
-
-
Sethi, I.1
Yoo, J.H.2
-
56
-
-
0030631792
-
Extracting rules from neural networks by pruning and hidden-unit splitting
-
Setiono R. Extracting rules from neural networks by pruning and hidden-unit splitting. Neural Computation 9 1 (1997) 205-225
-
(1997)
Neural Computation
, vol.9
, Issue.1
, pp. 205-225
-
-
Setiono, R.1
-
57
-
-
0033885056
-
FERNN: an algorithm for fast extraction of rules from neural networks
-
Setiono R., and Leow K. FERNN: an algorithm for fast extraction of rules from neural networks. Appl. Intell. 12 1-2 (2000) 15-25
-
(2000)
Appl. Intell.
, vol.12
, Issue.1-2
, pp. 15-25
-
-
Setiono, R.1
Leow, K.2
-
58
-
-
0036565303
-
Extraction of rules from artificial neural networks for nonlinear regression
-
Setiono R., Leow W.K., and Zuarada J.M. Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks 13 3 (2002) 564-577
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.3
, pp. 564-577
-
-
Setiono, R.1
Leow, W.K.2
Zuarada, J.M.3
-
59
-
-
0031240054
-
Neurolinear: from neural networks to oblique decision rules
-
Setiono R., and Liu H. Neurolinear: from neural networks to oblique decision rules. Neurocomputing 16 3 (1997) 225-235
-
(1997)
Neurocomputing
, vol.16
, Issue.3
, pp. 225-235
-
-
Setiono, R.1
Liu, H.2
-
60
-
-
0030109008
-
Symbolic representation of neural networks
-
Setiono R., and Liu H. Symbolic representation of neural networks. IEEE Comput 29 3 (1996) 71-77
-
(1996)
IEEE Comput
, vol.29
, Issue.3
, pp. 71-77
-
-
Setiono, R.1
Liu, H.2
-
61
-
-
33751021563
-
-
J. Shavlik, An overview of research at wisconsin on knowledge-based neural networks, in: Proceedings of the International Conference on Neural Networks, Washington, DC, 1996, pp. 65-69.
-
-
-
-
63
-
-
33751007435
-
-
S. Snyders, C. Omlin, Rule Extraction from Knowledge-Based Neural Networks with Adaptive Inductive Bias, in: Proceedings of the Eighth International Conference on Neural Information Processing (ICONIP), vol. 1, 2001, pp. 143-148.
-
-
-
-
64
-
-
0032685184
-
Symbolic interpretation of artificial neural networks
-
Taha I., and Ghosh J. Symbolic interpretation of artificial neural networks. IEEE Trans. Knowledge Data Eng. 11 3 (1999) 448-463
-
(1999)
IEEE Trans. Knowledge Data Eng.
, vol.11
, Issue.3
, pp. 448-463
-
-
Taha, I.1
Ghosh, J.2
-
65
-
-
0030308689
-
-
I. Taha, J. Ghosh, Three techniques for extracting rules from feed-forward networks, Intelligent Engineering Systems Through Artificial Neural Networks, vol. 6, ASME Press, New York, 1996.
-
-
-
-
66
-
-
0030721342
-
-
I. Taha, J. Ghosh, Evaluation and ordering of rules extracted from feedforward networks, in: Proceedings of the IEEE International Conference on Neural Networks, 1997, pp. 221-226.
-
-
-
-
67
-
-
33750971318
-
-
S. Thrun, Extracting provably correct rules from artificial neural networks, Technical Report IAI-93-5, Institut für Informatik III, Universität Bonn, 1993.
-
-
-
-
68
-
-
0027678679
-
Extracting refined rules from knowledge-based neural networks
-
Towell G.G., and Shavlik J. Extracting refined rules from knowledge-based neural networks. Mach. Learn. 13 (1993) 71-101
-
(1993)
Mach. Learn.
, vol.13
, pp. 71-101
-
-
Towell, G.G.1
Shavlik, J.2
-
69
-
-
85013614605
-
-
A. Vahed, C.W. Omlin, Rule extraction from recurrent neural networks using a symbolic machine learning algorithm, in: Proceedings of the Sixth International Conference on Neural Information Processing, Perth, Australia, 1999.
-
-
-
-
70
-
-
33750983212
-
-
T. Weijters, A.V.D. Bosh, J.V.D. Herik, Intelligible neural networks with BP_SOM, in: Proceedings of the Ninth Dutch Conference on Artificial Intelligence, 1997, pp. 27-36.
-
-
-
|