메뉴 건너뛰기




Volumn 32, Issue 3, 1997, Pages 261-272

Implementation of fuzzy logic systems and neural networks in industry

Author keywords

Fuzzy logic system; Fuzzy neural network; Neural fuzzy system; Neural networks

Indexed keywords

CONCURRENT ENGINEERING; DATA PROCESSING; INDUSTRY; INVENTORY CONTROL; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PLANNING; SCHEDULING;

EID: 0031101086     PISSN: 01663615     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0166-3615(96)00074-7     Document Type: Article
Times cited : (36)

References (72)
  • 1
    • 0017703889 scopus 로고
    • Application of fuzzy logic to approximate reasoning using linguistic synthesis
    • E. Mamdani, Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Trans. Comput., C-26(12) (1977) 1182-1191.
    • (1977) IEEE Trans. Comput. , vol.C-26 , Issue.12 , pp. 1182-1191
    • Mamdani, E.1
  • 2
    • 0025404409 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controller - Parts I and II
    • C.C. Lee, Fuzzy logic in control systems: fuzzy logic controller - Parts I and II, IEEE Trans. Systems, Man, and Cybernet., 20(2) (1990) 404-418, 419-435.
    • (1990) IEEE Trans. Systems, Man, and Cybernet. , vol.20 , Issue.2 , pp. 404-418
    • Lee, C.C.1
  • 3
    • 0001647709 scopus 로고
    • Automobile speed control system using a fuzzy logic controller
    • M. Sugeno (Ed.), North-Holland, Amsterdam
    • S. Murakami and M. Maeda, Automobile speed control system using a fuzzy logic controller, in M. Sugeno (Ed.), Industrial Applications of Fuzzy Control, North-Holland, Amsterdam, 1985.
    • (1985) Industrial Applications of Fuzzy Control
    • Murakami, S.1    Maeda, M.2
  • 4
    • 0002321535 scopus 로고
    • The application of a fuzzy controller to the control of a multi-degree-of-freedom robot arm
    • M. Sugeno (Ed.), North-Holland, Amsterdam
    • E.M. Scharf and N.J. Mandix, The application of a fuzzy controller to the control of a multi-degree-of-freedom robot arm, in M. Sugeno (Ed.), Industrial Applications of Fuzzy Control, North-Holland, Amsterdam, 1985.
    • (1985) Industrial Applications of Fuzzy Control
    • Scharf, E.M.1    Mandix, N.J.2
  • 5
    • 0001800265 scopus 로고
    • Application of fuzzy reasoning to the water purification process
    • M. Sugeno (Ed.), North-Holland, Amsterdam
    • O. Yagishita, O. Itoh and M. Sugeno, Application of fuzzy reasoning to the water purification process, in M. Sugeno (Ed.), Industrial Applications of Fuzzy Control, North-Holland, Amsterdam, 1985.
    • (1985) Industrial Applications of Fuzzy Control
    • Yagishita, O.1    Itoh, O.2    Sugeno, M.3
  • 6
    • 0001220976 scopus 로고
    • Automatic train operation system predictive fuzzy control
    • M. Sugeno (Ed.), North-Holland, Amsterdam
    • S. Yasunobu and S. Miyamoto, Automatic train operation system predictive fuzzy control, in M. Sugeno (Ed.), Industrial Applications of Fuzzy Control, North-Holland, Amsterdam, 1985.
    • (1985) Industrial Applications of Fuzzy Control
    • Yasunobu, S.1    Miyamoto, S.2
  • 7
    • 0027189296 scopus 로고
    • An effective method for large scale project planning with multiple fuzzy activity times
    • Seong Chang and M. Mitsuo
    • Y. Tsujimura, in Seong Chang and M. Mitsuo, An effective method for large scale project planning with multiple fuzzy activity times, 1993. IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 1009-1015.
    • (1993) IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 1009-1015
    • Tsujimura, Y.1
  • 10
    • 0002983128 scopus 로고
    • Network analysis of fuzzy technology
    • G.W. Evan, W. Karwowski and M.R. Wilhelm (Eds.), Elsevier, Amsterdam
    • M. Mares, Network analysis of fuzzy technology, in G.W. Evan, W. Karwowski and M.R. Wilhelm (Eds.), Applications of Fuzzy Set Methodologies in Industrial Engineering, Elsevier, Amsterdam, 1989, pp. 115-125.
    • (1989) Applications of Fuzzy Set Methodologies in Industrial Engineering , pp. 115-125
    • Mares, M.1
  • 13
    • 0011830667 scopus 로고
    • Decision-making under fuzziness
    • M.M. Gupta, R.K. Ragade and R.R. Yager (Eds.), North-Holland, Amsterdam
    • D. Dubois and Prade, Decision-making under fuzziness, in M.M. Gupta, R.K. Ragade and R.R. Yager (Eds.), Advances in Fuzzy Set Theory and Applications, North-Holland, Amsterdam, 1979, pp. 279-302.
    • (1979) Advances in Fuzzy Set Theory and Applications , pp. 279-302
    • Dubois, D.1    Prade2
  • 15
    • 0002146440 scopus 로고
    • The use of fuzzy variables in PERT
    • S. Chanas and J. Kamburowski, The use of fuzzy variables in PERT, Fuzzy Set Syst., 5 (1981) 11-19.
    • (1981) Fuzzy Set Syst. , vol.5 , pp. 11-19
    • Chanas, S.1    Kamburowski, J.2
  • 16
    • 38249030792 scopus 로고
    • Project network analysis with fuzzy activity time
    • C.S. McCahon and E.S. Lee, Project network analysis with fuzzy activity time, Comput. Math. Applic., 15(10) (1988) 829-838.
    • (1988) Comput. Math. Applic. , vol.15 , Issue.10 , pp. 829-838
    • McCahon, C.S.1    Lee, E.S.2
  • 17
    • 0020340050 scopus 로고
    • Fuzzy sets in few classical operational research problems
    • M.M. Gupta and E. Sanchez (Eds.), North-Holland, Amsterdam
    • S. Chanas, Fuzzy sets in few classical operational research problems, in M.M. Gupta and E. Sanchez (Eds.), Approximate Reasoning in Decision Analysis, North-Holland, Amsterdam, 1982, pp. 351-363.
    • (1982) Approximate Reasoning in Decision Analysis , pp. 351-363
    • Chanas, S.1
  • 20
    • 0026242437 scopus 로고
    • Approximate knowledge in LEXIT, and expert system for assessing marine lubricant quality and diagnosing engine failure
    • J. Jakopovic, Approximate knowledge in LEXIT, and expert system for assessing marine lubricant quality and diagnosing engine failure, Comput. Ind., 17 (1991) 43-47.
    • (1991) Comput. Ind. , vol.17 , pp. 43-47
    • Jakopovic, J.1
  • 21
    • 0024731851 scopus 로고
    • Part family formation for GT applications based on fuzzy mathematics
    • H. Xu and H. Wang, Part family formation for GT applications based on fuzzy mathematics, Int. Prod. Res., 27(9) (1989) 1637-1651.
    • (1989) Int. Prod. Res. , vol.27 , Issue.9 , pp. 1637-1651
    • Xu, H.1    Wang, H.2
  • 22
    • 38249015451 scopus 로고
    • Concurrent formation of part families and machine cells based on the fuzzy set theory
    • C. Zhang and H. Wang, Concurrent formation of part families and machine cells based on the fuzzy set theory, J. Manufact. Syst., 11(1) (1992) 61-67.
    • (1992) J. Manufact. Syst. , vol.11 , Issue.1 , pp. 61-67
    • Zhang, C.1    Wang, H.2
  • 23
    • 0026105478 scopus 로고
    • An expert system with fuzzy sets optimal planning
    • A.K. David and Z. Rongda, An expert system with fuzzy sets optimal planning, IEEE Trans. Power Syst., 6(1) (1991) 59-65.
    • (1991) IEEE Trans. Power Syst. , vol.6 , Issue.1 , pp. 59-65
    • David, A.K.1    Rongda, Z.2
  • 24
    • 0026945926 scopus 로고
    • Fuzzy expert systems: An application to short-term load forecasting
    • Y. Hsu and K. Ho, Fuzzy expert systems: an application to short-term load forecasting, IEEE Proc., C139(6) (1992) 471-477.
    • (1992) IEEE Proc. , vol.C139 , Issue.6 , pp. 471-477
    • Hsu, Y.1    Ho, K.2
  • 25
    • 0026954775 scopus 로고
    • Neural networks for control systems - A survey
    • K.J. Hunt et al., Neural networks for control systems - a survey, Automatica, 28(6) (1992) 1083-1112.
    • (1992) Automatica , vol.28 , Issue.6 , pp. 1083-1112
    • Hunt, K.J.1
  • 27
    • 0002675201 scopus 로고
    • Neural-network
    • H. White, Neural-network, AI Expert, December (1989) 48-52.
    • (1989) AI Expert , vol.DECEMBER , pp. 48-52
    • White, H.1
  • 28
    • 0000152448 scopus 로고
    • Forecasting with neural networks
    • D. Fletcher and E. Goss, Forecasting with neural networks, Info. Manage., 24 (1993) 159-167.
    • (1993) Info. Manage. , vol.24 , pp. 159-167
    • Fletcher, D.1    Goss, E.2
  • 29
    • 0026806616 scopus 로고
    • A hybrid neural network - First principles approach to process modelling
    • D.C. Psichogios and L.H. Ungar, A hybrid neural network - first principles approach to process modelling, AIChE J., 38(10) (1992) 1499-1511.
    • (1992) AIChE J. , vol.38 , Issue.10 , pp. 1499-1511
    • Psichogios, D.C.1    Ungar, L.H.2
  • 30
    • 0026258339 scopus 로고
    • Time series forecasting using neural networks vs Box-Jenkins methodology
    • Z. Tang, C. Almedia and P. Fishwick, Time series forecasting using neural networks vs Box-Jenkins methodology, Simulation, 57(5) (1991) 303-310.
    • (1991) Simulation , vol.57 , Issue.5 , pp. 303-310
    • Tang, Z.1    Almedia, C.2    Fishwick, P.3
  • 31
    • 0026822198 scopus 로고
    • Advancement in the application of neural networks for short-term load forecasting
    • T.M. Peng, N.F. Hubble and G.G. Karady, Advancement in the application of neural networks for short-term load forecasting, IEEE Trans. Power Syst., 7(1) (1992) 250-257.
    • (1992) IEEE Trans. Power Syst. , vol.7 , Issue.1 , pp. 250-257
    • Peng, T.M.1    Hubble, N.F.2    Karady, G.G.3
  • 32
    • 0027628187 scopus 로고
    • Unsupervised/supervised learning concept for 24-hour load forecasting
    • M. Djukanovic, B. Babic, D.J. Sobajic and Y. Pao, Unsupervised/supervised learning concept for 24-hour load forecasting, IEEE Proc., C140(4) (1993) 311-318.
    • (1993) IEEE Proc. , vol.C140 , Issue.4 , pp. 311-318
    • Djukanovic, M.1    Babic, B.2    Sobajic, D.J.3    Pao, Y.4
  • 33
    • 0027543854 scopus 로고
    • Neural network based short term load forecasting
    • C.N. Lu, H.T. Wu and S. Vemuri, Neural network based short term load forecasting, IEEE Trans. Power Syst., 8(1) (1993) 336-342.
    • (1993) IEEE Trans. Power Syst. , vol.8 , Issue.1 , pp. 336-342
    • Lu, C.N.1    Wu, H.T.2    Vemuri, S.3
  • 34
    • 0026818086 scopus 로고
    • Short term load forecasting using multilayer neural network with an adaptive learning algorithm
    • K.L. Ho, Y. Hsu and C. Yang, Short term load forecasting using multilayer neural network with an adaptive learning algorithm, IEEE Trans. Power Syst., 7(1) (1992) 141-149.
    • (1992) IEEE Trans. Power Syst. , vol.7 , Issue.1 , pp. 141-149
    • Ho, K.L.1    Hsu, Y.2    Yang, C.3
  • 35
    • 0026821995 scopus 로고
    • Short-term load forecasting using an artificial neural network
    • K.Y. Lee, Y.T. Cha and J.H. Park, Short-term load forecasting using an artificial neural network, IEEE Trans. Power Syst., 7(1) (1992) 124-130.
    • (1992) IEEE Trans. Power Syst. , vol.7 , Issue.1 , pp. 124-130
    • Lee, K.Y.1    Cha, Y.T.2    Park, J.H.3
  • 36
    • 0026851662 scopus 로고
    • Neural network forecasting of short noisy time series
    • W.R. Foster, F. Collopy and L.H. Ungar, Neural network forecasting of short noisy time series, Comput. Chem. Eng., 16(4) (1992) 293-297.
    • (1992) Comput. Chem. Eng. , vol.16 , Issue.4 , pp. 293-297
    • Foster, W.R.1    Collopy, F.2    Ungar, L.H.3
  • 37
    • 0027872653 scopus 로고
    • An evaluation of ART1 neural models for GT part family and machine cell forming
    • T.W. Liao and L.J. Chen, An evaluation of ART1 neural models for GT part family and machine cell forming, J. Manufact. Syst., 12(4) (1993) 282-290.
    • (1993) J. Manufact. Syst. , vol.12 , Issue.4 , pp. 282-290
    • Liao, T.W.1    Chen, L.J.2
  • 38
    • 38249014262 scopus 로고
    • Generalized part family formation using neural network techniques
    • Y.B. Moon and S.C. Chi, "Generalized Part Family Formation Using Neural Network Techniques ", Journal of Manufacturing Systems, Vol. 11, No. 3, 1992, pp. 149-159.
    • (1992) Journal of Manufacturing Systems , vol.11 , Issue.3 , pp. 149-159
    • Moon, Y.B.1    Chi, S.C.2
  • 39
    • 0001511844 scopus 로고
    • Quality control of composite materials by neural network analysis of ultrasonic power spectra
    • J.J. Thomsen and K. Lund, Quality control of composite materials by neural network analysis of ultrasonic power spectra, Mater. Eval., May (1991) 594-600.
    • (1991) Mater. Eval. , vol.MAY , pp. 594-600
    • Thomsen, J.J.1    Lund, K.2
  • 40
    • 0027657894 scopus 로고
    • Predictive control of quality in a batch manufacturing process using artificial neural networks models
    • B. Joseph and W. Hanratty, Predictive control of quality in a batch manufacturing process using artificial neural networks models, Ind. Eng. Chem. Res., 32 (1993) 1951-1961.
    • (1993) Ind. Eng. Chem. Res. , vol.32 , pp. 1951-1961
    • Joseph, B.1    Hanratty, W.2
  • 44
    • 0026868886 scopus 로고
    • An anticipatory fuzzy logic controller utilizing neural net prediction
    • C.L. McCullough, An anticipatory fuzzy logic controller utilizing neural net prediction, Simulation, 58(5) (1992) 327-332.
    • (1992) Simulation , vol.58 , Issue.5 , pp. 327-332
    • McCullough, C.L.1
  • 45
    • 0026961294 scopus 로고    scopus 로고
    • Multisensor integration system based on fuzzy inference and neural network for industrial application
    • T. Fukuda, K. Shimojima, F. Arai and H. Matsuura, Multisensor integration system based on fuzzy inference and neural network for industrial application, Proc. 1993 IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 907-914.
    • Proc. 1993 IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 907-914
    • Fukuda, T.1    Shimojima, K.2    Arai, F.3    Matsuura, H.4
  • 46
    • 0027306928 scopus 로고    scopus 로고
    • Design and testing of a fuzzy logic/neural network hybrid controller for three-pump liquid level/temperature control
    • G.A. Cordes, H.B. Smatt and J.A. Johnson, Design and testing of a fuzzy logic/neural network hybrid controller for three-pump liquid level/temperature control, Proc. 1993 IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 167-171.
    • Proc. 1993 IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 167-171
    • Cordes, G.A.1    Smatt, H.B.2    Johnson, J.A.3
  • 49
    • 0027611017 scopus 로고
    • Intelligent control systems: Are they for real?
    • R. Shoureshi, Intelligent control systems: are they for real?, Trans. ASME, 115 (1993) 392-401.
    • (1993) Trans. ASME , vol.115 , pp. 392-401
    • Shoureshi, R.1
  • 50
    • 0042683870 scopus 로고
    • Strong bonds link neural and fuzzy computing
    • L. Berardinis, Strong bonds link neural and fuzzy computing, Mach. Des., 23 (1992).
    • (1992) Mach. Des. , vol.23
    • Berardinis, L.1
  • 52
    • 52149110874 scopus 로고    scopus 로고
    • A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
    • D. Nauck and R. Kruse, A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation, Proc. 1993 IEEE Int. Conf. on Neural Networks, Vol. 2, pp. 1022-1027.
    • Proc. 1993 IEEE Int. Conf. on Neural Networks , vol.2 , pp. 1022-1027
    • Nauck, D.1    Kruse, R.2
  • 53
    • 0002619682 scopus 로고
    • Fusion technology of fuzzy theory and neural networks-survey and future direction
    • H. Takagi, Fusion technology of fuzzy theory and neural networks-survey and future direction, Proc. Int. Conf. on Fuzzy Logic and Neural Networks, 1990, pp. 13-26.
    • (1990) Proc. Int. Conf. on Fuzzy Logic and Neural Networks , pp. 13-26
    • Takagi, H.1
  • 55
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • C. Lin and C.S.G. Lee, Neural-network-based fuzzy logic control and decision system, IEEE Trans. Comput., 40(12) (1991) 1320-1336.
    • (1991) IEEE Trans. Comput. , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.1    Lee, C.S.G.2
  • 56
    • 0027147719 scopus 로고    scopus 로고
    • On identification of structures in premises of a fuzzy model using a fuzzy neural network
    • S. Horikawa, T. Furuhashi and Y. Uchikawa, On identification of structures in premises of a fuzzy model using a fuzzy neural network, Proc. 1993 IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 661-666.
    • Proc. 1993 IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 661-666
    • Horikawa, S.1    Furuhashi, T.2    Uchikawa, Y.3
  • 57
    • 0026993015 scopus 로고    scopus 로고
    • A design algorithm of membership functions for a fuzzy neuron using example-based learning
    • T. Yamakawa and M. Furukawa, A design algorithm of membership functions for a fuzzy neuron using example-based learning, Proc. 1992 IEEE Int. Conf. on Fuzzy Systems, pp. 75-82.
    • Proc. 1992 IEEE Int. Conf. on Fuzzy Systems , pp. 75-82
    • Yamakawa, T.1    Furukawa, M.2
  • 59
    • 0027206262 scopus 로고    scopus 로고
    • A fuzzy adaptive controller using reinforcement learning neural networks
    • A. Esogbue and J. Murrell, A fuzzy adaptive controller using reinforcement learning neural networks, Proc. 1993 IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 178-183.
    • Proc. 1993 IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 178-183
    • Esogbue, A.1    Murrell, J.2
  • 60
    • 0027677321 scopus 로고
    • Integration of neural networks with fuzzy reasoning for measuring operational parameters in a nuclear reactor
    • A. Ikonomopoulos, L.H. Tsoukalas and R.E. Uhrig, Integration of neural networks with fuzzy reasoning for measuring operational parameters in a nuclear reactor, Nucl. Technol., 104 (1993) 1-11.
    • (1993) Nucl. Technol. , vol.104 , pp. 1-11
    • Ikonomopoulos, A.1    Tsoukalas, L.H.2    Uhrig, R.E.3
  • 63
    • 84943251739 scopus 로고    scopus 로고
    • The use of fuzzy membership in network training for isolated word recognition
    • Y. Qi and H. Bobby, The use of fuzzy membership in network training for isolated word recognition, Proc. 1993 IEEE Int. Conf. on Neural Networks, Vol. 3, pp. 1823-1828.
    • Proc. 1993 IEEE Int. Conf. on Neural Networks , vol.3 , pp. 1823-1828
    • Qi, Y.1    Bobby, H.2
  • 64
    • 0027186775 scopus 로고    scopus 로고
    • Processing of incomplete fuzzy data using artificial neural networks
    • M. Patyra and T. Kwon, Processing of incomplete fuzzy data using artificial neural networks, Proc. 1993 IEEE Int. Conf. on Fuzzy Systems, Vol. 1, pp. 429-434.
    • Proc. 1993 IEEE Int. Conf. on Fuzzy Systems , vol.1 , pp. 429-434
    • Patyra, M.1    Kwon, T.2
  • 65
    • 0026970610 scopus 로고    scopus 로고
    • Real-time supervised structure/parameter leading for fuzzy neural network
    • C.T. Lin and C.S.G. Lee, Real-time supervised structure/parameter leading for fuzzy neural network, Proc. 1992 IEEE Int. Conf. on Fuzzy Systems, pp. 1283-1291.
    • Proc. 1992 IEEE Int. Conf. on Fuzzy Systems , pp. 1283-1291
    • Lin, C.T.1    Lee, C.S.G.2
  • 67
    • 0000905399 scopus 로고
    • Implementation of conjunctive fuzzy logic rules with neural networks
    • J. Keller and H. Tahani, Implementation of conjunctive fuzzy logic rules with neural networks, Int. J. Approx. Reason., 6 (1992)221-240.
    • (1992) Int. J. Approx. Reason. , vol.6 , pp. 221-240
    • Keller, J.1    Tahani, H.2
  • 71
  • 72
    • 0026989508 scopus 로고    scopus 로고
    • A face recognition system using fuzzy logic and artificial neural network
    • K. Lim, Y. Sim and K. Oh, A face recognition system using fuzzy logic and artificial neural network, Proc. 1992 IEEE Int. Conf. on Fuzzy Systems, pp. 1063-1069.
    • Proc. 1992 IEEE Int. Conf. on Fuzzy Systems , pp. 1063-1069
    • Lim, K.1    Sim, Y.2    Oh, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.