메뉴 건너뛰기




Volumn 49, Issue 25-26, 2006, Pages 4732-4750

Applying neural networks to the solution of forward and inverse heat conduction problems

Author keywords

Inverse heat conduction problems (IHCPs); Neural network

Indexed keywords

BACKPROPAGATION; BOUNDARY CONDITIONS; COMPUTATION THEORY; COMPUTER SIMULATION; INVERSE PROBLEMS; NEURAL NETWORKS;

EID: 33751018291     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2006.06.009     Document Type: Article
Times cited : (125)

References (36)
  • 2
    • 0033079842 scopus 로고    scopus 로고
    • Analysis of boundary inverse heat conduction problems using space marching with Savitzky-Gollay digital filter
    • Al-Khalidy N. Analysis of boundary inverse heat conduction problems using space marching with Savitzky-Gollay digital filter. Int. Commun. Heat Mass Transfer 26 2 (1999) 199-208
    • (1999) Int. Commun. Heat Mass Transfer , vol.26 , Issue.2 , pp. 199-208
    • Al-Khalidy, N.1
  • 3
    • 0034313580 scopus 로고    scopus 로고
    • Prediction of the inner wall shape of an eroded furnace by the nonlinear inverse heat conduction technique
    • Shin M.S., and Lee J.W. Prediction of the inner wall shape of an eroded furnace by the nonlinear inverse heat conduction technique. JSME Int. J. B 43 4 (2000) 544-549
    • (2000) JSME Int. J. B , vol.43 , Issue.4 , pp. 544-549
    • Shin, M.S.1    Lee, J.W.2
  • 4
    • 0026205915 scopus 로고
    • Inverse heat conduction applied to the measurement of heat transfer coefficient on a cylinder. Comparison between an analytical and a boundary element technique
    • Maillet D., Degiovanni A., and Pasquetti R. Inverse heat conduction applied to the measurement of heat transfer coefficient on a cylinder. Comparison between an analytical and a boundary element technique. J. Heat Transfer Trans. ASME 113 3 (1991) 549-557
    • (1991) J. Heat Transfer Trans. ASME , vol.113 , Issue.3 , pp. 549-557
    • Maillet, D.1    Degiovanni, A.2    Pasquetti, R.3
  • 5
    • 14844317637 scopus 로고    scopus 로고
    • Input estimation method including finite-element scheme for solving inverse heat conduction problems
    • Chen T.C., and Tuan P.C. Input estimation method including finite-element scheme for solving inverse heat conduction problems. Numer. Heat Transfer, Part B: Fundam. 47 3 (2005) 277-290
    • (2005) Numer. Heat Transfer, Part B: Fundam. , vol.47 , Issue.3 , pp. 277-290
    • Chen, T.C.1    Tuan, P.C.2
  • 6
    • 0001921035 scopus 로고    scopus 로고
    • Numerical solution of 2-d nonlinear inverse heat conduction problems using finite-element techniques
    • Khachfe R.A., and Jarny Y. Numerical solution of 2-d nonlinear inverse heat conduction problems using finite-element techniques. Numer. Heat Transfer: Part B: Fundam. 37 1 (2000) 45-67
    • (2000) Numer. Heat Transfer: Part B: Fundam. , vol.37 , Issue.1 , pp. 45-67
    • Khachfe, R.A.1    Jarny, Y.2
  • 7
    • 0030125774 scopus 로고    scopus 로고
    • Multidimensional inverse transient heat conduction problems by direct sensitivity coefficient method using a finite-element scheme
    • Tseng A.A., and Zhao F.Z. Multidimensional inverse transient heat conduction problems by direct sensitivity coefficient method using a finite-element scheme. Numer. Heat Transfer: Part B: Fundam. 29 3 (1996) 365-380
    • (1996) Numer. Heat Transfer: Part B: Fundam. , vol.29 , Issue.3 , pp. 365-380
    • Tseng, A.A.1    Zhao, F.Z.2
  • 8
    • 0032824536 scopus 로고    scopus 로고
    • A Sequential gradient method for the inverse heat conduction problem (IHCP)
    • Dowding K.J., and Beck J.V. A Sequential gradient method for the inverse heat conduction problem (IHCP). J. Heat Transfer Trans. ASME 121 (1999) 300-306
    • (1999) J. Heat Transfer Trans. ASME , Issue.121 , pp. 300-306
    • Dowding, K.J.1    Beck, J.V.2
  • 9
    • 0030150013 scopus 로고    scopus 로고
    • Application of the boundary element method to inverse heat conduction problems
    • Lesnic D., Elliott L., and Ingham D.B. Application of the boundary element method to inverse heat conduction problems. Int. J. Heat Mass Transfer 39 7 (1996) 1503-1517
    • (1996) Int. J. Heat Mass Transfer , vol.39 , Issue.7 , pp. 1503-1517
    • Lesnic, D.1    Elliott, L.2    Ingham, D.B.3
  • 10
    • 0032019621 scopus 로고    scopus 로고
    • A boundary-element-based inverse problem of estimating boundary conditions in an irregular domain with statistical analysis
    • Hung C.H., and Chen C.W. A boundary-element-based inverse problem of estimating boundary conditions in an irregular domain with statistical analysis. Numer. Heat Transfer: Part B: Fundam. 33 2 (1998) 251-268
    • (1998) Numer. Heat Transfer: Part B: Fundam. , vol.33 , Issue.2 , pp. 251-268
    • Hung, C.H.1    Chen, C.W.2
  • 11
    • 0242552283 scopus 로고    scopus 로고
    • Solution to inverse heat conduction problem in nanoscale using sequential method
    • Kim S.K., and Daniel I.M. Solution to inverse heat conduction problem in nanoscale using sequential method. Numer. Heat Transfer: Part B: Fundam. 44 5 (2003) 439-456
    • (2003) Numer. Heat Transfer: Part B: Fundam. , vol.44 , Issue.5 , pp. 439-456
    • Kim, S.K.1    Daniel, I.M.2
  • 12
    • 0001420478 scopus 로고    scopus 로고
    • The validation of the robust input estimation approach to two-dimensional inverse heat conduction problems
    • Tuan P.C., and Ju M.C. The validation of the robust input estimation approach to two-dimensional inverse heat conduction problems. Numer. Heat Transfer: Part B: Fundam. 37 2 (2000) 247-265
    • (2000) Numer. Heat Transfer: Part B: Fundam. , vol.37 , Issue.2 , pp. 247-265
    • Tuan, P.C.1    Ju, M.C.2
  • 13
    • 33750969606 scopus 로고
    • Kalman smoothing technique applied to the inverse heat conduction problem
    • Scarpa F., and Milano G. Kalman smoothing technique applied to the inverse heat conduction problem. Numer. Heat Transfer: Part B: Fundam. 27 3 (1995) 291-307
    • (1995) Numer. Heat Transfer: Part B: Fundam. , vol.27 , Issue.3 , pp. 291-307
    • Scarpa, F.1    Milano, G.2
  • 15
    • 0029170602 scopus 로고
    • Usage of neural network for coupled parameter and function specification inverse heat conduction problem
    • Raudensky M., Horsky J., and Krejsa J. Usage of neural network for coupled parameter and function specification inverse heat conduction problem. Int. Commun. Heat Mass Transfer 22 5 (1995) 661-670
    • (1995) Int. Commun. Heat Mass Transfer , vol.22 , Issue.5 , pp. 661-670
    • Raudensky, M.1    Horsky, J.2    Krejsa, J.3
  • 16
    • 0005983601 scopus 로고    scopus 로고
    • Assessment of strategies and potential for neural networks in the inverse heat conduction problem
    • Krejsa J., Woodbury K.A., Ratliff J.D., and Raudensky M. Assessment of strategies and potential for neural networks in the inverse heat conduction problem. Inverse Problems Eng. 7 (1999) 197-213
    • (1999) Inverse Problems Eng. , vol.7 , pp. 197-213
    • Krejsa, J.1    Woodbury, K.A.2    Ratliff, J.D.3    Raudensky, M.4
  • 19
    • 84943274699 scopus 로고    scopus 로고
    • M. Riedmiller, H. Braun, A direct adaptive method for faster backpropagation learning: the RPROP algorithm, in: Proceedings of the IEEE International Conference on Neural Networks, San Francisco, 1993, pp. 586-591.
  • 22
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller M.F. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6 (1993) 525-533
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.F.1
  • 23
    • 0001024110 scopus 로고
    • First and second order methods for learning: between steepest descent and Newton's method
    • Battiti R. First and second order methods for learning: between steepest descent and Newton's method. Neural Comput. 4 2 (1992) 141-166
    • (1992) Neural Comput. , vol.4 , Issue.2 , pp. 141-166
    • Battiti, R.1
  • 24
    • 33846446220 scopus 로고
    • Restart procedures for the conjugate gradient method
    • Powell M.J.D. Restart procedures for the conjugate gradient method. Math. Program. 12 (1977) 241-254
    • (1977) Math. Program. , vol.12 , pp. 241-254
    • Powell, M.J.D.1
  • 25
    • 0031080652 scopus 로고    scopus 로고
    • Application of Kalman filtering with input estimation technique to on-line cylindrical inverse heat conduction problems
    • Tuan P.C., Ji C.C., Fong L.W., and Huang W.T. Application of Kalman filtering with input estimation technique to on-line cylindrical inverse heat conduction problems. Int. J. Jpn. Soc. Mech. Eng. Ser. B 40 1 (1997) 126-133
    • (1997) Int. J. Jpn. Soc. Mech. Eng. Ser. B , vol.40 , Issue.1 , pp. 126-133
    • Tuan, P.C.1    Ji, C.C.2    Fong, L.W.3    Huang, W.T.4
  • 26
    • 0030128078 scopus 로고    scopus 로고
    • An input estimation approach to on-line two dimensional inverse heat conduction problems
    • Tuan P.C., Ji C.C., Fong L.W., and Huang W.T. An input estimation approach to on-line two dimensional inverse heat conduction problems. Numer. Heat Transfer: Part B: Fundam. 29 (1996) 345-363
    • (1996) Numer. Heat Transfer: Part B: Fundam. , vol.29 , pp. 345-363
    • Tuan, P.C.1    Ji, C.C.2    Fong, L.W.3    Huang, W.T.4
  • 27
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • Hopfield J.J. Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA 81 10 (1984) 3088-3092
    • (1984) Proc. Natl. Acad. Sci. USA , vol.81 , Issue.10 , pp. 3088-3092
    • Hopfield, J.J.1
  • 28
    • 0022504321 scopus 로고
    • Computing with neural circuits: a model
    • Hopfield J.J., and Tank D.W. Computing with neural circuits: a model. Science 233 4764 (1986) 625-633
    • (1986) Science , vol.233 , Issue.4764 , pp. 625-633
    • Hopfield, J.J.1    Tank, D.W.2
  • 31
    • 33750971671 scopus 로고
    • Antognetti P., and Milutonovic V. (Eds), Prentice Hall, New Jersey
    • In: Antognetti P., and Milutonovic V. (Eds). Neural Networks: Concepts, Applications and Implementations vol. I (1991), Prentice Hall, New Jersey 121-122
    • (1991) Neural Networks: Concepts, Applications and Implementations , vol.I , pp. 121-122
  • 32
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay D.J.C. Bayesian interpolation. Neural Comput. 4 (1992) 415-447
    • (1992) Neural Comput. , vol.4 , pp. 415-447
    • MacKay, D.J.C.1
  • 33
    • 0030702721 scopus 로고    scopus 로고
    • F.D. Foresee, M.T. Hagan, Gauss-Newton approximation to Bayesian learning, in: Proceedings of the 1997 International Joint Conference on Neural Networks, Houston, 1997, pp. 1930-1935.
  • 36
    • 33751004621 scopus 로고    scopus 로고
    • Measuring one dimensional temperature field of rotor using Hopfield neural network
    • Gao J.B., Zhang J.Z., and Xu M.Q. Measuring one dimensional temperature field of rotor using Hopfield neural network. Thermal Turbine 32 2 (2003) 78-81
    • (2003) Thermal Turbine , vol.32 , Issue.2 , pp. 78-81
    • Gao, J.B.1    Zhang, J.Z.2    Xu, M.Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.