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Volumn 5226 LNCS, Issue , 2008, Pages 498-505

Prediction of aortic diameter values in healthy turkish infants, children and adolescents via adaptive network based fuzzy inference system

Author keywords

ANFIS; Aortic Diameter; Line Base Normalization Method; Prediction

Indexed keywords

COMPUTATIONAL METHODS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; STATISTICAL TESTS;

EID: 56549106204     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87442-3_62     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 1
    • 0004149569 scopus 로고
    • Lea&Febiger, Philadelphia
    • Feigenbaum, H.: Echocardiography, pp. 658-675. Lea&Febiger, Philadelphia (1994)
    • (1994) Echocardiography , pp. 658-675
    • Feigenbaum, H.1
  • 2
    • 26944458497 scopus 로고    scopus 로고
    • Adaptive Neuro-fuzzy Inference System for Classification of EEG Signals Using Wavelet Coefficients
    • Güler, I., Übeyli, D.E.: Adaptive Neuro-fuzzy Inference System for Classification of EEG Signals Using Wavelet Coefficients. Journal of Neuroscience Methods 148, 113-121 (2005)
    • (2005) Journal of Neuroscience Methods , vol.148 , pp. 113-121
    • Güler, I.1    Übeyli, D.E.2
  • 3
    • 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 Network 3(5), 714-723 (1992)
    • (1992) IEEE Trans. Neural Network , vol.3 , Issue.5 , pp. 714-723
    • Jang, J.S.R.1
  • 4
    • 33751180776 scopus 로고    scopus 로고
    • Ahybrid Medical Decision Making System Based on Principles Component Analysis, k-NN Based Weighted Pre-processing and Adaptive Neuro-fuzzy Inference system
    • Polat, K., Güne, S.: Ahybrid Medical Decision Making System Based on Principles Component Analysis, k-NN Based Weighted Pre-processing and Adaptive Neuro-fuzzy Inference system. Digital Signal Processing 16(6), 913-921 (2006)
    • (2006) Digital Signal Processing , vol.16 , Issue.6 , pp. 913-921
    • Polat, K.1    Güne, S.2
  • 5
    • 33947284882 scopus 로고    scopus 로고
    • Prediction of Rheological Properties of Iranian Bread Dough from Chemical Composition of Wheat Flour by Using Artificial Neural Networks
    • Razmi-Rad, E., Ghanbarzadeh, B., Mousavi, S.M., Emam-Djomeh, Z., Khazaei, J.: Prediction of Rheological Properties of Iranian Bread Dough from Chemical Composition of Wheat Flour by Using Artificial Neural Networks. J. Food Eng. 81(4), 728-734 (2007)
    • (2007) J. Food Eng , vol.81 , Issue.4 , pp. 728-734
    • Razmi-Rad, E.1    Ghanbarzadeh, B.2    Mousavi, S.M.3    Emam-Djomeh, Z.4    Khazaei, J.5
  • 7
    • 49149096916 scopus 로고    scopus 로고
    • Predicting Performance of a Ground-source Heat Pump System Using Fuzzy Weighted Pre-processing-based ANFIS
    • Article in press
    • Esena, H., Inallib, M., Sengurc, A., Esena, M.: Predicting Performance of a Ground-source Heat Pump System Using Fuzzy Weighted Pre-processing-based ANFIS. Building and Environment (Article in press)
    • Building and Environment
    • Esena, H.1    Inallib, M.2    Sengurc, A.3    Esena, M.4
  • 8
    • 0035372175 scopus 로고    scopus 로고
    • New Approach to Dynamic Modelling of Vapour Compression Liquid Chillers: Artificial Neural Networks
    • Betchler, H., Browne, M.W., Bansal, P.K., Kecman, V.: New Approach to Dynamic Modelling of Vapour Compression Liquid Chillers: Artificial Neural Networks. Applied Thermal Engineering 21(9), 941-953 (2001)
    • (2001) Applied Thermal Engineering , vol.21 , Issue.9 , pp. 941-953
    • Betchler, H.1    Browne, M.W.2    Bansal, P.K.3    Kecman, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.