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Volumn 23, Issue 2-4, 1998, Pages 201-216

Sensor Fusion System Using Recurrent Fuzzy Inference

Author keywords

Incremental learning; Radial basis function; Recurrent fuzzy inference; Sensor fusion; The steepest descent method

Indexed keywords

FUZZY SETS; INFERENCE ENGINES; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; PARAMETER ESTIMATION; RECURRENT NEURAL NETWORKS; SENSOR DATA FUSION;

EID: 0032181853     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008031614352     Document Type: Article
Times cited : (12)

References (12)
  • 1
    • 0027609701 scopus 로고
    • Multi-sensor integration system based on fuzzy inference and neural network
    • Fukuda, T., Shimojima, K., Arai, F., and Matsuura, H.: Multi-sensor integration system based on fuzzy inference and neural network, Information and Science 71(1,2) (1992), 27-41.
    • (1992) Information and Science , vol.71 , Issue.1-2 , pp. 27-41
    • Fukuda, T.1    Shimojima, K.2    Arai, F.3    Matsuura, H.4
  • 2
    • 84974765178 scopus 로고
    • Fuzzy inference integrated 3-d measuring system with led displacement sensor and vision system
    • Shimojima, K., Fukuda, T., Arai, F., and Matsuura, H.: Fuzzy inference integrated 3-d measuring system with led displacement sensor and vision system, Intelligent and Fuzzy Systems 1(1) (1993), 63-72.
    • (1993) Intelligent and Fuzzy Systems , vol.1 , Issue.1 , pp. 63-72
    • Shimojima, K.1    Fukuda, T.2    Arai, F.3    Matsuura, H.4
  • 3
    • 0004808540 scopus 로고
    • Fuzzified RBF network-based learning control: Structure and self-construction
    • Linkens, D. A. and Nie, J.: Fuzzified RBF network-based learning control: structure and self-construction, in: IEEE Internat. Conf. on Neural Networks, 1993, pp. 1016-1021.
    • (1993) IEEE Internat. Conf. on Neural Networks , pp. 1016-1021
    • Linkens, D.A.1    Nie, J.2
  • 8
    • 0027224649 scopus 로고
    • Integrating design stages of fuzzy system using genetic algorithm
    • Lee, M. A. and Takagi, H.: Integrating design stages of fuzzy system using genetic algorithm, in: 2nd IEEE Internat. Conf. on Fuzzy Systems, 1993, pp. 612-617.
    • (1993) 2nd IEEE Internat. Conf. on Fuzzy Systems , pp. 612-617
    • Lee, M.A.1    Takagi, H.2
  • 12
    • 0027222514 scopus 로고
    • Self-generating radial basis function as neuro-fuzzy model and its application to nonlinear prediction of chaotic time series
    • Katayama, R., Kajitani, Y., Kuwata, K., and Nishida, Y.: Self-generating radial basis function as neuro-fuzzy model and its application to nonlinear prediction of chaotic time series, in: 2nd IEEE Internat. Conf. on Fuzzy Systems, 1993, pp. 407-414.
    • (1993) 2nd IEEE Internat. Conf. on Fuzzy Systems , pp. 407-414
    • Katayama, R.1    Kajitani, Y.2    Kuwata, K.3    Nishida, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.