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Volumn 161, Issue 1-2, 2004, Pages 1-19

Intrinsic and extrinsic implementation of a bio-inspired hardware system

Author keywords

Adaptive hardware; Bio inspired hardware; Extrinsic; FPGA; Intrinsic; Neurofuzzy

Indexed keywords

COMPUTER ARCHITECTURE; DATA REDUCTION; ENGINEERING RESEARCH; ERROR ANALYSIS; FIELD PROGRAMMABLE GATE ARRAYS; FUZZY SETS; NEURAL NETWORKS; RELIABILITY;

EID: 1642379159     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2003.03.008     Document Type: Article
Times cited : (7)

References (41)
  • 1
    • 1642339182 scopus 로고    scopus 로고
    • Advances in Computational Intelligence and Learning: Methods and Applications, Kluwer Academic Publishers
    • Zimmermann H.J., et al. Advances in Computational Intelligence and Learning: Methods and Applications. International Series in Intelligent Technologies. vol. 18:2002;Kluwer Academic Publishers.
    • (2002) International Series in Intelligent Technologies , vol.18
    • Zimmermann, H.J.1
  • 3
    • 0030190701 scopus 로고    scopus 로고
    • Learning systems in intelligent control: An appraisal of fuzzy, neural and genetic algorithm control applications
    • Linkens D.A., Nyongesa H.O. Learning systems in intelligent control: an appraisal of fuzzy, neural and genetic algorithm control applications. IEE Proc. Control Theory Appl. 143(4):1996.
    • (1996) IEE Proc. Control Theory Appl. , vol.143 , Issue.4
    • Linkens, D.A.1    Nyongesa, H.O.2
  • 4
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao X. Evolving artificial neural networks. Proc. IEEE. 87(9):1999;1423-1447.
    • (1999) Proc. IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1
  • 5
    • 0033358363 scopus 로고    scopus 로고
    • Evolutionary neural fuzzy systems for noise cancellation in image data
    • Russo F. Evolutionary neural fuzzy systems for noise cancellation in image data. IEEE Trans. Instrument. Measure. 48(5):1999;915-920.
    • (1999) IEEE Trans. Instrument. Measure. , vol.48 , Issue.5 , pp. 915-920
    • Russo, F.1
  • 6
    • 0141853266 scopus 로고    scopus 로고
    • Evolving fuzzy neural networks: Theory and applications for on-line adaptive prediction decision making and control
    • Kasabov N. Evolving fuzzy neural networks: theory and applications for on-line adaptive prediction decision making and control. Aust. J. Intell. Inform. Process. Syst. 5(3):1998;154-160.
    • (1998) Aust. J. Intell. Inform. Process. Syst. , vol.5 , Issue.3 , pp. 154-160
    • Kasabov, N.1
  • 7
    • 0000522137 scopus 로고    scopus 로고
    • Real-world applications of analog and digital evolvable hardware
    • Higuchi T., et al. Real-world applications of analog and digital evolvable hardware. IEEE Trans. Evolution. Comput. 3(3):1999;220-235.
    • (1999) IEEE Trans. Evolution. Comput. , vol.3 , Issue.3 , pp. 220-235
    • Higuchi, T.1
  • 8
    • 0032162441 scopus 로고    scopus 로고
    • Embryonics: A new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties
    • Mange D., et al. Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties. IEEE Trans. VLSI Syst. 6(3):1998;387-399.
    • (1998) IEEE Trans. VLSI Syst. , vol.6 , Issue.3 , pp. 387-399
    • Mange, D.1
  • 16
    • 84957807172 scopus 로고    scopus 로고
    • Off-line model-free and on-line model-based evolution for tracking navigation using evolvable hardware
    • EvoRobot98, Proceedings, Springer-Verlag
    • Keymeulen D., et al. Off-line model-free and on-line model-based evolution for tracking navigation using evolvable hardware. Evolutionary Robotics First European Workshop, EvoRobot98, Proceedings. 1998;211-226 Springer-Verlag.
    • (1998) Evolutionary Robotics First European Workshop , pp. 211-226
    • Keymeulen, D.1
  • 17
    • 0002413339 scopus 로고    scopus 로고
    • Evolvable hardware chips for industrial applications
    • Higuchi T., Kajihara N. Evolvable hardware chips for industrial applications. Commun. ACM. 42(4):1999;60-66.
    • (1999) Commun. ACM , vol.42 , Issue.4 , pp. 60-66
    • Higuchi, T.1    Kajihara, N.2
  • 19
    • 0032598587 scopus 로고    scopus 로고
    • Toward on-board synthesis and adaptation of electronic functions: An evolvable hardware approach
    • A. Stoica et al., Toward on-board synthesis and adaptation of electronic functions: an evolvable hardware approach, in: 1999 IEEE Aerospace Conference, vol. 2, 1999, pp. 351-357.
    • (1999) 1999 IEEE Aerospace Conference , vol.2 , pp. 351-357
    • Stoica, A.1
  • 21
    • 0013416304 scopus 로고    scopus 로고
    • Microcomputer applications of hybrid intelligent systems
    • Mesker L.R. Microcomputer applications of hybrid intelligent systems. J. Network Comp. Appl. 19(2):1996;213-234.
    • (1996) J. Network Comp. Appl. , vol.19 , Issue.2 , pp. 213-234
    • Mesker, L.R.1
  • 22
    • 0034207854 scopus 로고    scopus 로고
    • FPNA: Interaction between FPGA and neural computation
    • World Scientific, Singapore
    • Girau B. FPNA: interaction between FPGA and neural computation. Int. J. Neural Syst. 10(3):2000;243-259. (World Scientific, Singapore).
    • (2000) Int. J. Neural Syst. , vol.10 , Issue.3 , pp. 243-259
    • Girau, B.1
  • 25
    • 0032313031 scopus 로고    scopus 로고
    • A fast modified CORDIC-implementation of radial basis neural networks
    • Meyer-Base U., Meyer-Base A., Mellott J., Taylor F. A fast modified CORDIC-implementation of radial basis neural networks. J. VLSI Signal Process. 20(3):1998;211-218.
    • (1998) J. VLSI Signal Process. , vol.20 , Issue.3 , pp. 211-218
    • Meyer-Base, U.1    Meyer-Base, A.2    Mellott, J.3    Taylor, F.4
  • 27
    • 0032291863 scopus 로고    scopus 로고
    • The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs
    • Blake J.J., McGinnity T.M., Maguire L.P. The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs. Inform. Sci. 112(1-4):1998;151-168.
    • (1998) Inform. Sci. , vol.112 , Issue.1-4 , pp. 151-168
    • Blake, J.J.1    Mcginnity, T.M.2    Maguire, L.P.3
  • 28
    • 1642314895 scopus 로고    scopus 로고
    • Implementation of multilayer neural network with threshold neurons and its analysis
    • Sato K., Hikawa H. Implementation of multilayer neural network with threshold neurons and its analysis. Artif. Life Robot. 3(3):1999;170-175.
    • (1999) Artif. Life Robot. , vol.3 , Issue.3 , pp. 170-175
    • Sato, K.1    Hikawa, H.2
  • 31
    • 0027601884 scopus 로고
    • Adaptive-network-based fuzzy inference system
    • Jang J.S.R. Adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man. Cybern. 23:1993;665-684.
    • (1993) IEEE Trans. Syst. Man. Cybern. , vol.23 , pp. 665-684
    • Jang, J.S.R.1
  • 32
    • 1642404036 scopus 로고    scopus 로고
    • Hybrid intelligent architectures using a neurofuzzy approach
    • invited paper
    • L.P. Maguire, T.M. McGinnity, B. Glackin, Hybrid intelligent architectures using a neurofuzzy approach, invited paper for Coil 2000, 2000, pp. 17-23.
    • (2000) Coil 2000 , pp. 17-23
    • Maguire, L.P.1    McGinnity, T.M.2    Glackin, B.3
  • 34
    • 0035670764 scopus 로고    scopus 로고
    • Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
    • Kasabov N. Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. IEEE Trans. Syst. Man Cybern., Part B: Cybern. 31(6):2001;902-918.
    • (2001) IEEE Trans. Syst. Man Cybern., Part B: Cybern. , vol.31 , Issue.6 , pp. 902-918
    • Kasabov, N.1
  • 35
    • 0036530967 scopus 로고    scopus 로고
    • DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
    • Kasabov N.K., Song Q. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. IEEE Trans. Fuzzy Syst. 10(2):2002;144-154.
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.2 , pp. 144-154
    • Kasabov, N.K.1    Song, Q.2
  • 36
    • 1642282311 scopus 로고    scopus 로고
    • http://www.xilinx.com/virtex2pro/.
  • 37
    • 1642313254 scopus 로고    scopus 로고
    • http://www.altera.com/products/devices/excalibur/exc-index.html.
  • 40
    • 0033692531 scopus 로고    scopus 로고
    • Dynamic fuzzy neural networks - A novel approach to function approximation
    • Wu S., Er M.J. Dynamic fuzzy neural networks - a novel approach to function approximation. IEEE Trans. Syst. Man Cybern., Part B. 30(2):2000;358-364.
    • (2000) IEEE Trans. Syst. Man Cybern., Part B , vol.30 , Issue.2 , pp. 358-364
    • Wu, S.1    Er, M.J.2
  • 41
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • Takagi T., Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Syst. Man Cybern. 15:1985;116-132.
    • (1985) IEEE Trans. Syst. Man Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.