-
1
-
-
85158010005
-
Refinement of approximate domain theories by knowledge based neural network
-
Towell, G., Shavlik, J., Noordenier, M.: Refinement of Approximate Domain Theories by Knowledge Based Neural Network. In: Proc. The 8th Nat. Conf. Artificial Intelligence, pp. 861-866 (1990)
-
(1990)
Proc. the 8th Nat. Conf. Artificial Intelligence
, pp. 861-866
-
-
Towell, G.1
Shavlik, J.2
Noordenier, M.3
-
2
-
-
57749104225
-
Hierarchical takagi-sugeno type fuzzy system for diabetes mellitus forecasting
-
Sharifi, A., Vosolipour, A., Aliyari Sh, M., Teshnehlab, M.: Hierarchical Takagi-Sugeno Type Fuzzy System For Diabetes Mellitus Forecasting. In: Proc. the 7th Int. Conf. on Man. Cybern., pp. 1265-1270 (2008)
-
(2008)
Proc. the 7th Int. Conf. on Man. Cybern.
, pp. 1265-1270
-
-
Sharifi, A.1
Vosolipour, A.2
Aliyari Sh, M.3
Teshnehlab, M.4
-
3
-
-
35348859555
-
Classification of heterogeneous fuzzy data by choquet integral with fuzzy-valued integral
-
Yang, R., Wang, Z., Heng, P.A., Leung, K.S.: Classification of Heterogeneous Fuzzy Data by Choquet Integral with Fuzzy-Valued Integral. IEEE Trans. on fuzzy Syst. 15(5), 193-942 (2007)
-
(2007)
IEEE Trans. on Fuzzy Syst.
, vol.15
, Issue.5
, pp. 193-942
-
-
Yang, R.1
Wang, Z.2
Heng, P.A.3
Leung, K.S.4
-
4
-
-
21244495584
-
Computational intelligence methods for rule-based data understanding
-
Duch, W., Setiono, R., Zurada, J.M.: Computational Intelligence Methods for Rule-Based Data Understanding. Proc. of the IEEE 92(5), 771-805 (2004)
-
(2004)
Proc. of the IEEE
, vol.92
, Issue.5
, pp. 771-805
-
-
Duch, W.1
Setiono, R.2
Zurada, J.M.3
-
6
-
-
6344265525
-
A new approach to weighted fuzzy production rule extraction from neural networks
-
Fan, T., Wang, X.: A new approach to weighted fuzzy production rule extraction from neural networks. In: Proc. of the Third Int. Conf. on Man. Cybern., vol. 6, pp. 3348-3351 (2004)
-
(2004)
Proc. of the Third Int. Conf. on Man. Cybern.
, vol.6
, pp. 3348-3351
-
-
Fan, T.1
Wang, X.2
-
7
-
-
0035271419
-
A new methodology of extraction optimization and application of crisp and fuzzy logical rules
-
Duch, W., Adamczak, R., Grabczewski, K.: A New Methodology of Extraction, Optimization and Application of Crisp and Fuzzy Logical Rules. IEEE Trans. Neural Networks 12, 277-306 (2001)
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, pp. 277-306
-
-
Duch, W.1
Adamczak, R.2
Grabczewski, K.3
-
9
-
-
1242263791
-
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
-
Chakraborty, D., Pal, N.R.: A Neuro-Fuzzy Scheme for Simultaneous Feature Selection and Fuzzy Rule-Based Classification. IEEE Trans. on Neural Networks 15(1), 110-123 (2004)
-
(2004)
IEEE Trans. on Neural Networks
, vol.15
, Issue.1
, pp. 110-123
-
-
Chakraborty, D.1
Pal, N.R.2
-
12
-
-
41549092817
-
Nonlinear support vector machine visualization for risk factor analysis using nomograms and localized radial basis function kernels
-
Cho, B.H., Yu, H., Lee, J., Chee, Y.J., Kim, I.Y., Kim, S.I.: Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. IEEE Trans. On Information Technology in Biomedicine 12(2), 247-256 (2008)
-
(2008)
IEEE Trans. on Information Technology in Biomedicine
, vol.12
, Issue.2
, pp. 247-256
-
-
Cho, B.H.1
Yu, H.2
Lee, J.3
Chee, Y.J.4
Kim, I.Y.5
Kim, S.I.6
-
13
-
-
44049096608
-
Efficient fuzzy rule generation: A new approach using data mining principles and rule weighting
-
Dehzangi, O., Zolghadri, M.J., Taheri, S., Fakhrahmad, S.M.: Efficient Fuzzy Rule Generation: A New Approach Using Data Mining Principles and Rule Weighting. In: Fourth Int. Conf. on Fuzzy Systems and Knowledge Discovery, pp. 134-139 (2007)
-
(2007)
Fourth Int. Conf. on Fuzzy Systems and Knowledge Discovery
, pp. 134-139
-
-
Dehzangi, O.1
Zolghadri, M.J.2
Taheri, S.3
Fakhrahmad, S.M.4
-
14
-
-
70450014910
-
Hybrid DE-SVM approach for feature selection: Application to gene expression datasets
-
Garcia-Nieto, J., Alba, E., Apolloni, J.: Hybrid DE-SVM Approach for Feature Selection: Application to Gene Expression Datasets. In: 2nd Int. Conf. on Logistics and Industrial Informatics, pp. 52-57 (2009)
-
(2009)
2nd Int. Conf. on Logistics and Industrial Informatics
, pp. 52-57
-
-
Garcia-Nieto, J.1
Alba, E.2
Apolloni, J.3
-
15
-
-
33749129565
-
Differential evolution algorithms for finding predictive gene subsets in microarray data
-
Springer, Heidelberg
-
Tasoulis, D.K., Plagianakos, V.P., Vrahatis, M.N.: Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. In: Artificial Intelligence Applications and Innovations. IFIP, vol. 204, pp. 484-491. Springer, Heidelberg (2006)
-
(2006)
Artificial Intelligence Applications and Innovations. IFIP
, vol.204
, pp. 484-491
-
-
Tasoulis, D.K.1
Plagianakos, V.P.2
Vrahatis, M.N.3
|