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Volumn 28, Issue 11-12, 2006, Pages 1084-1088

Erratum to: Application of particle swarm optimisation in artificial neural network for the prediction of tool life (The International Journal of Advanced Manufacturing Technology, (2006), 28, 11-12, (1084-1088), 10.1007/s00170-004-2460-5);Application of particle swarm optimisation in artificial neural network for the prediction of tool life

Author keywords

A.N.N.; Back propagation; P.S.O.

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTATIONAL METHODS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 33646192852     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-017-0135-2     Document Type: Erratum
Times cited : (23)

References (17)
  • 2
    • 0003918169 scopus 로고
    • Studies in quality improvement
    • Centre for quality and productivity improvement. University of Wisconsin
    • Box GEP (1986) Studies in quality improvement, Technical report. Centre for quality and productivity improvement. University of Wisconsin
    • (1986) Technical Report
    • Box, G.E.P.1
  • 3
    • 33747444278 scopus 로고
    • On the art of cutting metals
    • Taylor FW (1906) On the art of cutting metals. Trans ASME 28:31
    • (1906) Trans ASME , vol.28 , pp. 31
    • Taylor, F.W.1
  • 4
    • 85004578320 scopus 로고
    • Tool life testing by response surface methodology. Part I
    • Trans A.S.M.E.
    • Wu SM (1964) Tool life testing by response surface methodology. Part I. Trans A.S.M.E., J Eng Ind 86:105-116
    • (1964) J Eng Ind , vol.86 , pp. 105-116
    • Wu, S.M.1
  • 5
    • 85025178975 scopus 로고
    • Tool life testing by response surface methodology. Part II
    • Trans A.S.M.E.
    • Wu SM (1964) Tool life testing by response surface methodology. Part II. Trans A.S.M.E., J Eng Ind 86:111-115
    • (1964) J Eng Ind , vol.86 , pp. 111-115
    • Wu, S.M.1
  • 6
    • 0033101969 scopus 로고    scopus 로고
    • On line monitoring of too 1 wear in turning using a neural network
    • Choudhury SK et al. (1999) On line monitoring of too 1 wear in turning using a neural network, Int J Mach Tools Manuf 39:489-504
    • (1999) Int J Mach Tools Manuf , vol.39 , pp. 489-504
    • Choudhury, S.K.1
  • 7
    • 0030194215 scopus 로고    scopus 로고
    • Evaluation of wear of turning carbide inserts using neural networks
    • Das S et al. (1996) Evaluation of wear of turning carbide inserts using neural networks. Int J Mach Tools Manuf 36(7):789-797
    • (1996) Int J Mach Tools Manuf , vol.36 , Issue.7 , pp. 789-797
    • Das, S.1
  • 8
    • 15844405414 scopus 로고
    • Neural network sensor fusion for tool condition monitoring
    • Dornfield DA (1990) Neural network sensor fusion for tool condition monitoring. Ann CIRP 39(1):1
    • (1990) Ann CIRP , vol.39 , Issue.1 , pp. 1
    • Dornfield, D.A.1
  • 9
    • 0030645218 scopus 로고    scopus 로고
    • Simple approach for online tool monitoring using the analytical hierarchy process
    • Proc Institution of Mechanical Engineers. Part B
    • Das S et al. (1997) Simple approach for online tool monitoring using the analytical hierarchy process. Proc Institution of Mechanical Engineers. Part B. J Eng Manuf 211:19-27
    • (1997) J Eng Manuf , vol.211 , pp. 19-27
    • Das, S.1
  • 10
    • 0030783411 scopus 로고    scopus 로고
    • Neural networks based tool wear monitoring in turning medium carbon using a coated carbide tool
    • Das S et al. (1997) Neural networks based tool wear monitoring in turning medium carbon using a coated carbide tool. J Mater Process Technol 63:187-192
    • (1997) J Mater Process Technol , vol.63 , pp. 187-192
    • Das, S.1
  • 11
    • 33646188454 scopus 로고
    • Prediction and detection of cutting tool failure by modified group method of data handling
    • Tetsutaro et al. U (1986) Prediction and detection of cutting tool failure by modified group method of data handling. Int J Mach Tools Manuf 26:233-245
    • (1986) Int J Mach Tools Manuf , vol.26 , pp. 233-245
    • Tetsutaro, U.1
  • 12
    • 0036568640 scopus 로고    scopus 로고
    • A genetic algorithmic approach for optimisation of surface roughness prediction model
    • Suresh PVS et al. (2002) A genetic algorithmic approach for optimisation of surface roughness prediction model. Int J Mach Tools Manuf 42:675-680
    • (2002) Int J Mach Tools Manuf , vol.42 , pp. 675-680
    • Suresh, P.V.S.1
  • 13
    • 0037278744 scopus 로고    scopus 로고
    • Machining parameters optimisation for turning cylindrical stock into a continuous finished profile using a genetic algorithm and simulated annealing
    • Saravanan R et al. (2003) Machining parameters optimisation for turning cylindrical stock into a continuous finished profile using a genetic algorithm and simulated annealing. Int J Adv Manuf Technol 21:1-9
    • (2003) Int J Adv Manuf Technol , vol.21 , pp. 1-9
    • Saravanan, R.1
  • 15
    • 0028466476 scopus 로고
    • A back propagation algorithm applied to tool wear monitoring
    • Purushothaman S. Srinivasa YG (1994) A back propagation algorithm applied to tool wear monitoring. Int J Mach Tools Manuf 34(5): 625-631
    • (1994) Int J Mach Tools Manuf , vol.34 , Issue.5 , pp. 625-631
    • Purushothaman, S.1    Srinivasa, Y.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.