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Volumn 30, Issue 6, 1999, Pages 407-417

Logical radial basis function networks a hybrid intelligent model for function approximation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER SIMULATION; FUZZY SETS; GENETIC ALGORITHMS; INFERENCE ENGINES; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 0033137561     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-9978(98)00124-0     Document Type: Article
Times cited : (9)

References (21)
  • 1
    • 0003097009 scopus 로고
    • Hybrid intelligent systems: Tools for decision making in intelligent manufacturing
    • C.H. Dagli. London: Chapman and Hall. Chap. 4
    • Madey G.R., Weinroth J., Shah V. Hybrid intelligent systems: Tools for decision making in intelligent manufacturing. Dagli C.H. Artificial neural networks for intelligent manufacturing. 1994;67 Chapman and Hall, London. Chap. 4.
    • (1994) Artificial Neural Networks for Intelligent Manufacturing , pp. 67
    • Madey, G.R.1    Weinroth, J.2    Shah, V.3
  • 2
    • 0028257032 scopus 로고
    • Genetic-based new fuzzy reasoning models with application to fuzzy control
    • Park D., Kandel A. Genetic-based new fuzzy reasoning models with application to fuzzy control. IEEE Trans. Sys., Man and Cybern. 24:(1):1994.
    • (1994) IEEE Trans. Sys., Man and Cybern. , vol.24 , Issue.1
    • Park, D.1    Kandel, A.2
  • 4
    • 0026835531 scopus 로고
    • Neural network application for direct feedback controllers
    • Ichikawa Y., Sawa T. Neural network application for direct feedback controllers. IEEE Trans. Neural Networks. 3:(2):1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.2
    • Ichikawa, Y.1    Sawa, T.2
  • 6
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based Fuzzy inference system
    • Jang J.R. ANFIS: Adaptive-network-based Fuzzy inference system. IEEE Trans. Sys., Man and Cybern. 23:(3):1993.
    • (1993) IEEE Trans. Sys., Man and Cybern. , vol.23 , Issue.3
    • Jang, J.R.1
  • 7
    • 0344667333 scopus 로고
    • Neural network based algorithms for rule evaluation and defuzzification in fuzzy logic design
    • Oregon Convention Center, Portland, Oregon, July
    • Khan E. Neural network based algorithms for rule evaluation and defuzzification in fuzzy logic design, International Neural Network Society Annual Meeting, Oregon Convention Center, Portland, Oregon, July 1993.
    • (1993) International Neural Network Society Annual Meeting
    • Khan, E.1
  • 8
    • 0027594954 scopus 로고
    • An improved synthesis method for multilayered nerual networks using qualitative knowledge
    • Narazaki H., Ralescu A.L. An improved synthesis method for multilayered nerual networks using qualitative knowledge. IEEE Trans. On Fuzzy systems. 1:(2):1993.
    • (1993) IEEE Trans. on Fuzzy Systems , vol.1 , Issue.2
    • Narazaki, H.1    Ralescu, A.L.2
  • 9
    • 0011245702 scopus 로고
    • On Fuzzy neuron models
    • L. Zadeh, & J. Kacprzyk. John Wiley and sons, Inc
    • Gupta M.M. On Fuzzy neuron models. Zadeh L., Kacprzyk J. Fuzzy logic for management of uncertainty. 1992;John Wiley and sons, Inc.
    • (1992) Fuzzy Logic for Management of Uncertainty
    • Gupta, M.M.1
  • 10
    • 0022270417 scopus 로고
    • Syllogistic reasoning in the Fuzzy logic and its application to usuality and reasoning with dispositions
    • Zadeh L.A. Syllogistic reasoning in the Fuzzy logic and its application to usuality and reasoning with dispositions. IEEE Trans. Syst. Man and Cybern. 15:(6):1985;754-763.
    • (1985) IEEE Trans. Syst. Man and Cybern. , vol.15 , Issue.6 , pp. 754-763
    • Zadeh, L.A.1
  • 11
    • 0002926184 scopus 로고
    • Iterative Fuzzy model and a hierarchical network
    • Brussels, Belguim, July
    • Ichihashi H, Iterative Fuzzy model and a hierarchical network, Proc. 4th IFSA World Congress of Engineering, Brussels, Belguim, pp. 497-52 July 1991.
    • (1991) Proc. 4th IFSA World Congress of Engineering , pp. 497-552
    • Ichihashi, H.1
  • 13
    • 0027632444 scopus 로고
    • On a Hierarchical structure for Fuzzy modeling
    • Yager R.R. On a Hierarchical structure for Fuzzy modeling. IEEE Trans. Syst. Man and Cybern. 23:(4):1993;1189-1199.
    • (1993) IEEE Trans. Syst. Man and Cybern. , vol.23 , Issue.4 , pp. 1189-1199
    • Yager, R.R.1
  • 14
    • 0027647032 scopus 로고
    • Multistage Fuzzy inference formulated as linguistic-truth value propagation and its learning algorithm based on back-propagation
    • Uehara K., Fujise M. Multistage Fuzzy inference formulated as linguistic-truth value propagation and its learning algorithm based on back-propagation. IEEE Trans. Fuzzy Systems. 1:(3):1993.
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.3
    • Uehara, K.1    Fujise, M.2
  • 20
    • 0344235977 scopus 로고    scopus 로고
    • Abdel Wahab AH, Bahnasawi AA, Shabeen SI, Genetic-Based fuzzy neural networks: A third order intelligence connectionest model
    • Hefny H.A. Abdel Wahab AH, Bahnasawi AA, Shabeen SI, Genetic-Based fuzzy neural networks: A third order intelligence connectionest model. Journal of Engineering and Applied Science (Faculty of Engineering Cairo Univ.). 45:(1):1998;87-101.
    • (1998) Journal of Engineering and Applied Science (Faculty of Engineering Cairo Univ.) , vol.45 , Issue.1 , pp. 87-101
    • Hefny, H.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.