메뉴 건너뛰기




Volumn 179, Issue 13, 2009, Pages 2078-2101

A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; DECISION PROCESS; FUZZY DENSITIES; FUZZY INFERENCE SYSTEMS; FUZZY-LOGIC; HUMAN PERCEPTIONS; HYBRID APPROACHES; MODULAR NEURAL NETWORKS; NEURAL SYSTEMS; PRE-PROCESSING; SUGENO INTEGRALS; TRAINING DATUM; TYPE-2 FUZZY LOGIC; TYPE-2 FUZZY SYSTEMS;

EID: 64549132935     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.11.018     Document Type: Article
Times cited : (86)

References (40)
  • 5
    • 0036565011 scopus 로고    scopus 로고
    • Face recognition with radial basis function (RBF) neural networks
    • Joo M., Wu S., Lu J., and Lye H. Face recognition with radial basis function (RBF) neural networks. IEEE Transactions on Neural Networks 13m 3 (2002) 697-710
    • (2002) IEEE Transactions on Neural Networks , vol.13 m , Issue.3 , pp. 697-710
    • Joo, M.1    Wu, S.2    Lu, J.3    Lye, H.4
  • 7
    • 33846092557 scopus 로고    scopus 로고
    • Uncertainty estimation using fuzzy measures for multiclass classification
    • Graves K., and Nagarajah R. Uncertainty estimation using fuzzy measures for multiclass classification. IEEE Transactions on Neural Networks 18 1 (2007) 128-140
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.1 , pp. 128-140
    • Graves, K.1    Nagarajah, R.2
  • 9
    • 64549152162 scopus 로고    scopus 로고
    • O. Mendoza, P. Meli{dotless}́n, G. Licea, Fuzzy inference systems type-1 and type-2 for digital images edges detection, Engineering Letters, International Association of Engineers, EUA, 15, issue 1, 2007. Available from: .
    • O. Mendoza, P. Meli{dotless}́n, G. Licea, Fuzzy inference systems type-1 and type-2 for digital images edges detection, Engineering Letters, International Association of Engineers, EUA, vol. 15, issue 1, 2007. Available from: .
  • 10
    • 0003446302 scopus 로고
    • The MathWorks, Inc, available on the web page
    • The MathWorks, Inc., 1994-2008, Fuzzy Logic Toolbox, available on the web page: .
    • (1994) Fuzzy Logic Toolbox
  • 16
    • 25844499183 scopus 로고    scopus 로고
    • Fractal-based fuzzy technique for detection of active regions from solar
    • Revathy K., Lekshmi S., and Prabhakaran R. Fractal-based fuzzy technique for detection of active regions from solar. Journal of Solar Physics 228 (2005) 43-53
    • (2005) Journal of Solar Physics , vol.228 , pp. 43-53
    • Revathy, K.1    Lekshmi, S.2    Prabhakaran, R.3
  • 21
    • 64549148098 scopus 로고    scopus 로고
    • P. Melin, O. Mendoza, D. Soto, M. Gutierrez, D. Solano, An intelligent system for pattern recognition and time series prediction using modular neural networks, in: IEEE World Congress on Computational Intelligence, Vancouver, Canada, 2006, pp. 8197-8193.
    • P. Melin, O. Mendoza, D. Soto, M. Gutierrez, D. Solano, An intelligent system for pattern recognition and time series prediction using modular neural networks, in: IEEE World Congress on Computational Intelligence, Vancouver, Canada, 2006, pp. 8197-8193.
  • 23
    • 64549162954 scopus 로고    scopus 로고
    • J.R. Castro, O. Castillo, P. Melin, L.G. Marti{dotless}́nez, S. Escobar, I. Camacho, Building fuzzy inference systems with the interval type-2 fuzzy logic toolbox, in: Analysis and Design of Intelligent Systems using Soft Computing Techniques, Springer, Germany, 2006, pp. 53-62.
    • J.R. Castro, O. Castillo, P. Melin, L.G. Marti{dotless}́nez, S. Escobar, I. Camacho, Building fuzzy inference systems with the interval type-2 fuzzy logic toolbox, in: Analysis and Design of Intelligent Systems using Soft Computing Techniques, Springer, Germany, 2006, pp. 53-62.
  • 25
    • 33750023711 scopus 로고    scopus 로고
    • Advances in type-2 sets and systems
    • Mendel J. Advances in type-2 sets and systems. Information Sciences 177 (2007) 84-110
    • (2007) Information Sciences , vol.177 , pp. 84-110
    • Mendel, J.1
  • 26
    • 0001906968 scopus 로고    scopus 로고
    • Ensemble and modular multi-net systems
    • Springer, Germany
    • A. Sharkey, Ensemble and modular multi-net systems, in: Combining Artificial Neural Nets, Springer, Germany, 1999, pp. 1-25.
    • (1999) Combining Artificial Neural Nets , pp. 1-25
    • Sharkey, A.1
  • 27
    • 34249329952 scopus 로고    scopus 로고
    • A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting
    • Melin P., Mancilla A., Lopez M., and Mendoza O. A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting. Journal of Applied Soft Computing 7 4 (2007) 1217-1226
    • (2007) Journal of Applied Soft Computing , vol.7 , Issue.4 , pp. 1217-1226
    • Melin, P.1    Mancilla, A.2    Lopez, M.3    Mendoza, O.4
  • 28
    • 34547453126 scopus 로고    scopus 로고
    • The fuzzy Sugeno integral as a decision operator in the recognition of images with modular neural networks
    • Springer-Verlag, Germany pp. 299-310
    • Mendoza O., and Melin P. The fuzzy Sugeno integral as a decision operator in the recognition of images with modular neural networks. Hybrid Intelligent Systems: Design and Analysis (2007), Springer-Verlag, Germany pp. 299-310
    • (2007) Hybrid Intelligent Systems: Design and Analysis
    • Mendoza, O.1    Melin, P.2
  • 29
    • 0038076657 scopus 로고
    • The MathWorks, Inc, available on the web page
    • The MathWorks, Inc., 1994-2008, Neural Network Toolbox, available on the web page: .
    • (1994) Neural Network Toolbox
  • 31
    • 64549093453 scopus 로고    scopus 로고
    • Pierre and Marie Curie University, Paris
    • Detyniecki M. Mathematical Aggregation Operators and Their Application to Video Querying. PHD Artificial Intelligence (2000), Pierre and Marie Curie University, Paris
    • (2000) PHD Artificial Intelligence
    • Detyniecki, M.1
  • 32
    • 37249045970 scopus 로고    scopus 로고
    • A view of averaging aggregation operators
    • Vincent T., and Yasuo N. A view of averaging aggregation operators. IEEE Transactions on Fuzzy Systems 15 6 (2007) 1063-10067
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.6 , pp. 1063-10067
    • Vincent, T.1    Yasuo, N.2
  • 37
    • 64549094751 scopus 로고    scopus 로고
    • The use of the discrete Sugeno integral in decision-making: A survey
    • Colorni A., Paruccini M., and Roy B. (Eds), The European Commission, Luxembourg
    • Dubois D., Marichal J., Prade H., and Roubens M. The use of the discrete Sugeno integral in decision-making: A survey. In: Colorni A., Paruccini M., and Roy B. (Eds). A6MCD-A: Multiple Criteria Decision Aiding Joint Research Center (2001), The European Commission, Luxembourg 81-98
    • (2001) A6MCD-A: Multiple Criteria Decision Aiding Joint Research Center , pp. 81-98
    • Dubois, D.1    Marichal, J.2    Prade, H.3    Roubens, M.4
  • 38
    • 51149111688 scopus 로고    scopus 로고
    • O. Mendoza, G. Torres, P. Meli{dotless}́n, An intelligent system for modeling and simulation with modular neural networks, in: International Conference on Artificial Intelligence, Las Vegas, EUA, 2005, pp. 406-411.
    • O. Mendoza, G. Torres, P. Meli{dotless}́n, An intelligent system for modeling and simulation with modular neural networks, in: International Conference on Artificial Intelligence, Las Vegas, EUA, 2005, pp. 406-411.
  • 39
    • 64549122103 scopus 로고    scopus 로고
    • O. Mendoza, P. Meli{dotless}́n, 2005, The fuzzy Sugeno integral as a decision operator in the recognition of images with modular neural networks, in: International Conference on Fuzzy Systems, Neural Networks and Genetic Algorithms, Tijuana, México, pp. 105-116.
    • O. Mendoza, P. Meli{dotless}́n, 2005, The fuzzy Sugeno integral as a decision operator in the recognition of images with modular neural networks, in: International Conference on Fuzzy Systems, Neural Networks and Genetic Algorithms, Tijuana, México, pp. 105-116.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.