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Volumn 39, Issue 10, 2012, Pages 9477-9482

Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties

Author keywords

Adaptive neuro fuzzy; Conductive silicone rubber; Constitutive model; Strain stress

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CHAOTIC TIME SERIES; COMPRESSION TESTS; CONDUCTIVE SILICONE; CYCLIC LOADINGS; ELASTOMERIC MATERIALS; ELECTRICAL BEHAVIORS; LOADING AND UNLOADING; MECHANICAL SIMULATIONS; NEURO-FUZZY; NONLINEAR FUNCTIONS; STRAIN-STRESS; STRESS-STRAIN; TACTILE SENSING; TIME DEPENDENT BEHAVIOR;

EID: 84859215386     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.111     Document Type: Article
Times cited : (123)

References (13)
  • 1
  • 3
    • 0035451484 scopus 로고    scopus 로고
    • Constitutive modeling of the time-dependent and cyclic loading of elastomers and application to soft biological tissues
    • J.S. Bergstrom, and M.C. Boyce Constitutive modeling of the time-dependent and cyclic loading of elastomers and application to soft biological tissues Mechanics of Materials 33 2001 523
    • (2001) Mechanics of Materials , vol.33 , pp. 523
    • Bergstrom, J.S.1    Boyce, M.C.2
  • 4
    • 79151472440 scopus 로고    scopus 로고
    • Prediction of building energy needs in early stage of design by using ANFIS
    • B.B. Ekici, and U.T. Aksoy Prediction of building energy needs in early stage of design by using ANFIS Expert Systems with Applications 2011 38 5352
    • (2011) Expert Systems with Applications , pp. 38-5352
    • Ekici, B.B.1    Aksoy, U.T.2
  • 5
    • 58349088285 scopus 로고    scopus 로고
    • Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers
    • A. Khajeh, H. Modarress, and B. Rezaee Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers Expert Systems with Applications 36 2009 5728
    • (2009) Expert Systems with Applications , vol.36 , pp. 5728
    • Khajeh, A.1    Modarress, H.2    Rezaee, B.3
  • 6
    • 36549027820 scopus 로고    scopus 로고
    • Determination of dielectric properties of insulator materials by means of ANFIS: A comparative study
    • M. Inal Determination of dielectric properties of insulator materials by means of ANFIS: A comparative study Expert Systems with Applications 195 2008 34
    • (2008) Expert Systems with Applications , vol.195 , pp. 34
    • Inal, M.1
  • 7
    • 23944494572 scopus 로고    scopus 로고
    • The prediction of wafer surface non-uniformity using FEM and ANFIS in the chemical mechanical polishing process
    • S.P. Lo, and Y.Y. Lin The prediction of wafer surface non-uniformity using FEM and ANFIS in the chemical mechanical polishing process Journal of Materials Processing Technology 168 2005 250
    • (2005) Journal of Materials Processing Technology , vol.168 , pp. 250
    • Lo, S.P.1    Lin, Y.Y.2
  • 8
    • 34548090263 scopus 로고    scopus 로고
    • Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS
    • R. Khalifehzadeh, S. Forouzan, H. Arami, and S.K. Sadrnezhaad Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS Computational Materials Science 40 2007 359
    • (2007) Computational Materials Science , vol.40 , pp. 359
    • Khalifehzadeh, R.1    Forouzan, S.2    Arami, H.3    Sadrnezhaad, S.K.4
  • 9
    • 61849110256 scopus 로고    scopus 로고
    • Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction
    • C. Vairappan, H. Tamura, S. Gao, and Z. Tang Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction Neurocomputing 72 2009 1870
    • (2009) Neurocomputing , vol.72 , pp. 1870
    • Vairappan, C.1    Tamura, H.2    Gao, S.3    Tang, Z.4
  • 10
    • 79954416941 scopus 로고    scopus 로고
    • An ANFIS model for the prediction of flow stress of Ti600 alloy during hot deformation process
    • Y. Han, W. Zeng, Y. Zhao, Y. Qi, and Y. Sun An ANFIS model for the prediction of flow stress of Ti600 alloy during hot deformation process Computational Materials Science 50 2011 2273
    • (2011) Computational Materials Science , vol.50 , pp. 2273
    • Han, Y.1    Zeng, W.2    Zhao, Y.3    Qi, Y.4    Sun, Y.5
  • 11
    • 84858308238 scopus 로고    scopus 로고
    • Predicting optimum cure time of rubber compounds by means of anfis
    • (in press)
    • Karaagac, B.; Inal, M.; Deniz, V. (in press). Predicting optimum cure time of rubber compounds by means of anfis. Materials & Design. doi:10.1016/j.bbr.2011.03.031.
    • Materials & Design
    • Karaagac, B.1    Inal, M.2    Deniz, V.3
  • 12
    • 0043286836 scopus 로고    scopus 로고
    • Artificial neural networks applied to polymer composites: A review
    • Z. Zhang, and K. Friedrich Artificial neural networks applied to polymer composites: a review Composites Science and Technology 63 2003 2029
    • (2003) Composites Science and Technology , vol.63 , pp. 2029
    • Zhang, Z.1    Friedrich, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.