메뉴 건너뛰기




Volumn 148, Issue 3, 2004, Pages 288-300

Automatic design of fuzzy logic controller using a genetic algorithm - To predict power requirement and surface finish in grinding

Author keywords

Automatic design; Fuzzy logic controller; Genetic algorithm; Grinding; Power requirement; Surface finish

Indexed keywords

DATABASE SYSTEMS; FINISHING; FUZZY CONTROL; FUZZY SETS; GENETIC ALGORITHMS; GRINDING (MACHINING); KNOWLEDGE BASED SYSTEMS; MACHINE DESIGN; MEMBERSHIP FUNCTIONS;

EID: 2342574815     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2004.02.011     Document Type: Article
Times cited : (28)

References (39)
  • 1
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh L.A. Fuzzy sets. Inf. Control. 8:1965;338-353.
    • (1965) Inf. Control. , vol.8 , pp. 338-353
    • Zadeh, L.A.1
  • 5
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • Wang L.X., Mendel J.M. Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22(6):1992;1414-1427.
    • (1992) IEEE Trans. Syst. Man Cybern. , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.X.1    Mendel, J.M.2
  • 8
    • 85028889589 scopus 로고
    • Combining neural networks and fuzzy controllers
    • E.P. Klement, W. Slany (Eds.), , Springer Verlag, Berlin
    • D. Nauck, F. Klawonn, R. Kruse, Combining neural networks and fuzzy controllers, in: E.P. Klement, W. Slany (Eds.), Fuzzy Logic in Artificial Intelligence (FLAI'93), Springer Verlag, Berlin, 1993, pp. 35-46.
    • (1993) Fuzzy Logic in Artificial Intelligence (FLAI'93) , pp. 35-46
    • Nauck, D.1    Klawonn, F.2    Kruse, R.3
  • 12
    • 0026366218 scopus 로고
    • Neural network based fuzzy logic control and decision system
    • Lin C.T., Lee C.S.G. 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.T.1    Lee, C.S.G.2
  • 13
    • 0026925677 scopus 로고
    • Self-learning fuzzy controllers based on temporal back propagation
    • Jang J.S.R. Self-learning fuzzy controllers based on temporal back propagation. IEEE Trans. Neural Netw. 3(5):1992;714-721.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.5 , pp. 714-721
    • Jang, J.S.R.1
  • 23
    • 0025477595 scopus 로고
    • Genetic algorithms and neural networks: Optimizing connections and connectivity
    • Whitley D., Strakweather T., Bogart C. Genetic algorithms and neural networks: optimizing connections and connectivity. Parallel Comput. 14:1990;347-361.
    • (1990) Parallel Comput. , vol.14 , pp. 347-361
    • Whitley, D.1    Strakweather, T.2    Bogart, C.3
  • 24
    • 0029297062 scopus 로고
    • Structure optimization of fuzzy neural networks by genetic algorithm
    • Ishigami H., Fukuda T., Shibata T., Arai F. Structure optimization of fuzzy neural networks by genetic algorithm. J. FSS. 71(3):1995;257-264.
    • (1995) J. FSS , vol.71 , Issue.3 , pp. 257-264
    • Ishigami, H.1    Fukuda, T.2    Shibata, T.3    Arai, F.4
  • 25
    • 2342517807 scopus 로고    scopus 로고
    • Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding
    • in press
    • A.K. Nandi, D.K. Pratihar, Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding, J. FSS, in press.
    • J. FSS
    • Nandi, A.K.1    Pratihar, D.K.2
  • 27
    • 0018105794 scopus 로고
    • Influence of work material on grinding forces
    • Werner G., Koenig W., Aachen T.H. Influence of work material on grinding forces. Ann. CIRP. 27(1):1978;243-248.
    • (1978) Ann. CIRP , vol.27 , Issue.1 , pp. 243-248
    • Werner, G.1    Koenig, W.2    Aachen, T.H.3
  • 29
    • 0026224528 scopus 로고
    • Optimal selection of grinding parameters using process modelling and knowledge based system approach
    • Midha P.S., Zhu C.B., Trmal G.J. Optimal selection of grinding parameters using process modelling and knowledge based system approach. J. Mater. Process. Technol. 28(1-2):1991;189-198.
    • (1991) J. Mater. Process. Technol. , vol.28 , Issue.1-2 , pp. 189-198
    • Midha, P.S.1    Zhu, C.B.2    Trmal, G.J.3
  • 30
    • 0026985245 scopus 로고
    • Modelling and simulation of grinding process
    • Tonsohoff H.K., Peters J., Inasaki I., Paul T. Modelling and simulation of grinding process. Ann. CIRP. 41(1):1992;677-689.
    • (1992) Ann. CIRP , vol.41 , Issue.1 , pp. 677-689
    • Tonsohoff, H.K.1    Peters, J.2    Inasaki, I.3    Paul, T.4
  • 31
    • 0027190234 scopus 로고
    • Intelligent base for grinding operations
    • Sakakura M., Inasaki I. Intelligent base for grinding operations. Ann. CIRP. 42(1):1993;379-382.
    • (1993) Ann. CIRP , vol.42 , Issue.1 , pp. 379-382
    • Sakakura, M.1    Inasaki, I.2
  • 32
    • 0027544296 scopus 로고
    • A dynamic modelling approach to computer aided optimum selection of grinding parameters
    • Zhu C.B., Midha P.S., Trmal G.J. A dynamic modelling approach to computer aided optimum selection of grinding parameters. J. Mater. Process. Technol. 38(1-2):1993;227-245.
    • (1993) J. Mater. Process. Technol. , vol.38 , Issue.1-2 , pp. 227-245
    • Zhu, C.B.1    Midha, P.S.2    Trmal, G.J.3
  • 33
    • 0028735718 scopus 로고
    • Application of artificial intelligence in grinding
    • Rowe W.B., Yan L., Inasaki L., Malkin S. Application of artificial intelligence in grinding. Ann. CIRP. 43(2):1994;521-531.
    • (1994) Ann. CIRP , vol.43 , Issue.2 , pp. 521-531
    • Rowe, W.B.1    Yan, L.2    Inasaki, L.3    Malkin, S.4
  • 35
    • 0026938576 scopus 로고
    • Neural network modelling and multi-objective optimization of creep feed grinding of super alloys
    • Sathyanarayanan G., Lin L.J., Chen M.K. Neural network modelling and multi-objective optimization of creep feed grinding of super alloys. Int. J. Prod. Res. 30(10):1992;2421-2438.
    • (1992) Int. J. Prod. Res. , vol.30 , Issue.10 , pp. 2421-2438
    • Sathyanarayanan, G.1    Lin, L.J.2    Chen, M.K.3
  • 36
    • 0028518773 scopus 로고
    • A neural network approach for grinding process: Modeling and optimization
    • Liao W.T., Chen L.J. A neural network approach for grinding process: modeling and optimization. Int. J. Mach. Tools Manuf. 34(7):1994;919-937.
    • (1994) Int. J. Mach. Tools Manuf. , vol.34 , Issue.7 , pp. 919-937
    • Liao, W.T.1    Chen, L.J.2
  • 37
    • 0008655981 scopus 로고    scopus 로고
    • Grinding mode identification and surface quality prediction using neural network in grinding of silicon nitride
    • Zouaghi N., Ichida Y. Grinding mode identification and surface quality prediction using neural network in grinding of silicon nitride. Int. J. Jpn. Soc. Precis. Eng. 30(1):1996;35-40.
    • (1996) Int. J. Jpn. Soc. Precis. Eng. , vol.30 , Issue.1 , pp. 35-40
    • Zouaghi, N.1    Ichida, Y.2
  • 39


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.