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Volumn 36, Issue 5, 2006, Pages 1180-1190

FCMAC-BYY: Fuzzy CMAC using Bayesian Ying-Yang learning

Author keywords

Bayesian Ying Yang (BYY) learning; Cerebellar model articulation controller (CMAC); Fuzzy rule set; Neural networks; Truth value restriction (TVR)

Indexed keywords

FUZZY CONTROL; FUZZY SETS; INFERENCE ENGINES; NEURAL NETWORKS; OPTIMIZATION;

EID: 33749410387     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2006.874691     Document Type: Article
Times cited : (46)

References (36)
  • 1
    • 0016555419 scopus 로고
    • "Data storage in the cerebellar model articulation controller (CMAC)"
    • J. S. Albus, "Data storage in the cerebellar model articulation controller (CMAC)," Trans. ASME, J. Dyn. Syst. Meas. Control, vol. 97, no. 3, pp. 228-233, 1975.
    • (1975) Trans. ASME, J. Dyn. Syst. Meas. Control , vol.97 , Issue.3 , pp. 228-233
    • Albus, J.S.1
  • 2
    • 0016556021 scopus 로고
    • "A new approach to manipulator control: The cerebellar model articulation controller (CMAC)"
    • J. S. Albus, "A new approach to manipulator control: The cerebellar model articulation controller (CMAC)," Trans. ASME, J. Dyn. Syst. Meas. Control, vol. 97, no. 3, pp. 220-227, 1975.
    • (1975) Trans. ASME, J. Dyn. Syst. Meas. Control , vol.97 , Issue.3 , pp. 220-227
    • Albus, J.S.1
  • 3
    • 0032677896 scopus 로고    scopus 로고
    • "Stable adaptive control of a bipedalwalking; Robot with CMAC neural networks"
    • J. Hu, J. Pratt, and G. Pratt, "Stable adaptive control of a bipedalwalking; Robot with CMAC neural networks," in Proc. IEEE Int. Conf. Robot. Autom., 1999, vol. 2, pp. 1050-1056.
    • (1999) Proc. IEEE Int. Conf. Robot. Autom. , vol.2 , pp. 1050-1056
    • Hu, J.1    Pratt, J.2    Pratt, G.3
  • 4
    • 0025507952 scopus 로고
    • "CMAC: An associative neural network alternative to backpropagation"
    • Oct
    • W. T. Miller and F. H. Glanz, "CMAC: An associative neural network alternative to backpropagation," Proc. IEEE, vol. 78, no. 10, pp. 1561-1567, Oct. 1990.
    • (1990) Proc. IEEE , vol.78 , Issue.10 , pp. 1561-1567
    • Miller, W.T.1    Glanz, F.H.2
  • 6
    • 0033362923 scopus 로고    scopus 로고
    • "Self-organizing CMAC neural networks and adaptive dynamic control"
    • in Cambridge, MA, Sep
    • J. Hu and F. Pratt, "Self-organizing CMAC neural networks and adaptive dynamic control," in Proc. IEEE Int. Conf. Intell. Control, Cambridge, MA, Sep. 1999, pp. 15-17.
    • (1999) Proc. IEEE Int. Conf. Intell. Control , pp. 15-17
    • Hu, J.1    Pratt, F.2
  • 7
    • 0031352416 scopus 로고    scopus 로고
    • "On the training of a multi-resolution CMAC neural network"
    • in New Orleans, LA
    • A. Menozzi and M.-Y. Chow, "On the training of a multi-resolution CMAC neural network," in Proc. IECon, New Orleans, LA, 1997, vol. 3, pp. 1201-1205.
    • (1997) Proc. IECon , vol.3 , pp. 1201-1205
    • Menozzi, A.1    Chow, M.-Y.2
  • 9
    • 33646768163 scopus 로고    scopus 로고
    • "Self-organizing Gaussian fuzzy CMAC with truth value restriction"
    • in Sydney, Australia
    • M. N. Nguyen, D. Shi, and C. Quek, "Self-organizing Gaussian fuzzy CMAC with truth value restriction," in Proc. IEEE ICITA, Sydney, Australia, 2005, pp. 185-190.
    • (2005) Proc. IEEE ICITA , pp. 185-190
    • Nguyen, M.N.1    Shi, D.2    Quek, C.3
  • 10
    • 0009087313 scopus 로고    scopus 로고
    • "Real-time adaptive on-line traffic incident detection"
    • Jan
    • H. Xu, C. M. Kwan, L. Haves, and J. D. Pryor, "Real-time adaptive on-line traffic incident detection," Fuzzy Sets Syst., vol. 93, no. 2, pp. 173-183, Jan. 1998.
    • (1998) Fuzzy Sets Syst. , vol.93 , Issue.2 , pp. 173-183
    • Xu, H.1    Kwan, C.M.2    Haves, L.3    Pryor, J.D.4
  • 13
    • 0036737109 scopus 로고    scopus 로고
    • "GenSoFNN: A generic self-organizing fuzzy neural network"
    • Sep
    • W. L. Tung and C. Quek, "GenSoFNN: A generic self-organizing fuzzy neural network," IEEE Trans. Neural Netw., vol. 13, no. 5, pp. 1075-1086, Sep. 2002.
    • (2002) IEEE Trans. Neural Netw. , vol.13 , Issue.5 , pp. 1075-1086
    • Tung, W.L.1    Quek, C.2
  • 14
    • 8444234276 scopus 로고    scopus 로고
    • "An on-line algorithm for creating self-organizing fuzzy neural networks"
    • Dec
    • G. Leng, G. Prasad, and T. M. McGinnity, "An on-line algorithm for creating self-organizing fuzzy neural networks," Neural Netw., vol. 17, no. 10, pp. 1477-1493, Dec. 2004.
    • (2004) Neural Netw. , vol.17 , Issue.10 , pp. 1477-1493
    • Leng, G.1    Prasad, G.2    McGinnity, T.M.3
  • 15
    • 0026408256 scopus 로고
    • "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system"
    • G. A. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Netw., vol. 4, no. 6, pp. 759-771, 1991.
    • (1991) Neural Netw. , vol.4 , Issue.6 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 16
    • 0037274296 scopus 로고    scopus 로고
    • "A self-organizing HCMAC neural-network classifier"
    • Jan
    • H. M. Lee, C. M. Chen, and Y. F. Lu, "A self-organizing HCMAC neural-network classifier," IEEE Trans. Neural Netw., vol. 14, no. 1, pp. 15-27, Jan. 2003.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , Issue.1 , pp. 15-27
    • Lee, H.M.1    Chen, C.M.2    Lu, Y.F.3
  • 17
    • 0036790879 scopus 로고    scopus 로고
    • "BYY harmony learning, structural RPCL, and topological self-organizing on mixture models"
    • Oct
    • L. Xu, "BYY harmony learning, structural RPCL, and topological self-organizing on mixture models," Neural Netw., vol. 15, no. 8/9, pp. 1125-1151, Oct. 2002.
    • (2002) Neural Netw. , vol.15 , Issue.8-9 , pp. 1125-1151
    • Xu, L.1
  • 18
    • 3843136240 scopus 로고    scopus 로고
    • "Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor autodetermination"
    • Jul
    • L. Xu, "Advances on BYY harmony learning: Information theoretic perspective, generalized projection geometry, and independent factor autodetermination," IEEE Trans. Neural Netw., vol. 15, no. 4, pp. 885-902, Jul. 2004.
    • (2004) IEEE Trans. Neural Netw. , vol.15 , Issue.4 , pp. 885-902
    • Xu, L.1
  • 20
    • 0002629270 scopus 로고
    • "Maximum-likelihood from incomplete data via the EM algorithm"
    • N. M. Laird, A. P. Dempster, and D. B. Rubin, "Maximum-likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc., vol. B39, no. 1, pp. 1-38, 1977.
    • (1977) J. R. Stat. Soc. , vol.B39 , Issue.1 , pp. 1-38
    • Laird, N.M.1    Dempster, A.P.2    Rubin, D.B.3
  • 21
    • 0021404166 scopus 로고
    • "Mixture densities, maximum likelihood and the EM algorithm"
    • Apr
    • R. A. Redner and H. F. Walker, "Mixture densities, maximum likelihood and the EM algorithm," SIAM Rev., vol. 26, no. 2, pp. 195-239, Apr. 1984.
    • (1984) SIAM Rev. , vol.26 , Issue.2 , pp. 195-239
    • Redner, R.A.1    Walker, H.F.2
  • 22
    • 24344441147 scopus 로고    scopus 로고
    • "Bayesian Ying Yang learning (II): A new mechanism for model selection and regularization"
    • in N. Zhong and J. Liu, Eds. New York: Springer-Verlag
    • L. Xu, "Bayesian Ying Yang learning (II): A new mechanism for model selection and regularization," in Intelligent Technologies Information Analalysis, N. Zhong and J. Liu, Eds. New York: Springer-Verlag, 2004, pp. 661-706.
    • (2004) Intelligent Technologies Information Analalysis , pp. 661-706
    • Xu, L.1
  • 23
    • 0001927585 scopus 로고
    • "On information and sufficiency"
    • Mar
    • S. Kullback and R. A. Leibler, "On information and sufficiency," Ann. Math. Stat., vol. 2, no. 1, pp. 79-86, Mar. 1951.
    • (1951) Ann. Math. Stat. , vol.2 , Issue.1 , pp. 79-86
    • Kullback, S.1    Leibler, R.A.2
  • 24
    • 0003472427 scopus 로고    scopus 로고
    • "A neuro-fuzzy synergism to intelligent systems"
    • in Upper Saddle River, NJ: Prentice-Hall
    • C. T. Lin and C. S. G. Lee, "A neuro-fuzzy synergism to intelligent systems," in Neural Fuzzy Systems. Upper Saddle River, NJ: Prentice-Hall, 1996.
    • (1996) Neural Fuzzy Systems
    • Lin, C.T.1    Lee, C.S.G.2
  • 25
    • 0030481344 scopus 로고    scopus 로고
    • "POPFNN: A pseudo outer-product based fuzzy neural network"
    • Dec
    • C. Quek and R. W. Zhou, "POPFNN: A pseudo outer-product based fuzzy neural network," IEEE Trans. Neural Netw., vol. 9, no. 9, pp. 1569-1581, Dec. 1996.
    • (1996) IEEE Trans. Neural Netw. , vol.9 , Issue.9 , pp. 1569-1581
    • Quek, C.1    Zhou, R.W.2
  • 26
    • 0344395607 scopus 로고    scopus 로고
    • "POPFNN-CRI(S): Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier"
    • Dec
    • K. K. Ang, C. Quek, and M. Pasquier, "POPFNN-CRI(S): Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 33, no. 6, pp. 838-849, Dec. 2003.
    • (2003) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.33 , Issue.6 , pp. 838-849
    • Ang, K.K.1    Quek, C.2    Pasquier, M.3
  • 28
    • 0025382838 scopus 로고
    • "An approximate analogical reasoning schema based on similarity measures and interval-valued fuzzy sets"
    • Feb
    • I. B. Turksen and Z. Zhong, "An approximate analogical reasoning schema based on similarity measures and interval-valued fuzzy sets," Fuzzy Sets Syst., vol. 34, no. 3, pp. 323-346, Feb. 1990.
    • (1990) Fuzzy Sets Syst. , vol.34 , Issue.3 , pp. 323-346
    • Turksen, I.B.1    Zhong, Z.2
  • 29
    • 0033280325 scopus 로고    scopus 로고
    • "POPFNN-AARS(S): A pseudo outer-product based fuzzy neural network"
    • Dec
    • C. Quek and R. W. Zhou, "POPFNN-AARS(S): A pseudo outer-product based fuzzy neural network," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 29, no. 6, pp. 859-870, Dec. 1999.
    • (1999) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.29 , Issue.6 , pp. 859-870
    • Quek, C.1    Zhou, R.W.2
  • 30
    • 0000764772 scopus 로고
    • "The use of multiple measurements in taxonomic problems"
    • R. A. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugen., vol. 7, pt. II, no. 2, pp. 179-188, 1936.
    • (1936) Ann. Eugen. , vol.7 , Issue.2 PART II , pp. 179-188
    • Fisher, R.A.1
  • 31
    • 0031268065 scopus 로고    scopus 로고
    • "An ART-based fuzzy adaptive learning control network"
    • Nov
    • C. J. Lin and C. T. Lin, "An ART-based fuzzy adaptive learning control network," IEEE Trans. Fuzzy Syst., vol. 5, no. 4, pp. 477-496, Nov. 1997.
    • (1997) IEEE Trans. Fuzzy Syst. , vol.5 , Issue.4 , pp. 477-496
    • Lin, C.J.1    Lin, C.T.2
  • 32
    • 0035395913 scopus 로고    scopus 로고
    • "A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture"
    • Jul
    • C. Quek and W. L. Tung, "A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture," Pattern Recognit. Lett., vol. 22, no. 9, pp. 941-958, Jul. 2001.
    • (2001) Pattern Recognit. Lett. , vol.22 , Issue.9 , pp. 941-958
    • Quek, C.1    Tung, W.L.2
  • 34
    • 0026923589 scopus 로고
    • "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps"
    • Sep
    • C. A. Carpenter and S. Grossberg et al., "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 698-713, Sep. 1992.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.5 , pp. 698-713
    • Carpenter, C.A.1    Grossberg, S.2
  • 35
    • 33749381522 scopus 로고    scopus 로고
    • Federal Reserve Bank of Chicago, [Online]. Available
    • Federal Reserve Bank of Chicago, Repository for Bank Data. [Online]. Available: http://www.chicagofed.org
    • Repository for Bank Data
  • 36
    • 1942423173 scopus 로고    scopus 로고
    • "GenSo-EWS: A novel neural-fuzzy based early warning system for predicting bank failures"
    • May
    • W. L. Tung, C. Quek, and P. Cheng, "GenSo-EWS: A novel neural-fuzzy based early warning system for predicting bank failures," Neural Netw., vol. 17, no. 4, pp. 567-587, May. 2004.
    • (2004) Neural Netw. , vol.17 , Issue.4 , pp. 567-587
    • Tung, W.L.1    Quek, C.2    Cheng, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.