메뉴 건너뛰기




Volumn 3697 LNCS, Issue , 2005, Pages 485-490

Current trends on knowledge extraction and neural networks

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE ACQUISITION; MATHEMATICAL TECHNIQUES; MECHANISMS;

EID: 33646235879     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 1
    • 0028429963 scopus 로고
    • Neural network models for predicting flowering and physiological maturity of soybean
    • Elizondo, D.A., McClendon, R.W., Hoogenboom, G.: Neural network models for predicting flowering and physiological maturity of soybean. Transactions of the ASAE 37 (1994) 981-988
    • (1994) Transactions of the ASAE , vol.37 , pp. 981-988
    • Elizondo, D.A.1    McClendon, R.W.2    Hoogenboom, G.3
  • 3
    • 2942629149 scopus 로고    scopus 로고
    • Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant
    • Chiang Tan, S., Peng Lim, C.: Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant. IEEE Transactions on Energy Conversion 19 (2004) 369-377
    • (2004) IEEE Transactions on Energy Conversion , vol.19 , pp. 369-377
    • Chiang Tan, S.1    Peng Lim, C.2
  • 4
    • 0032418223 scopus 로고    scopus 로고
    • The recursive deterministic perceptron neural network
    • Tajine, M., Elizondo, D.: The recursive deterministic perceptron neural network. Neural Networks 11 (1998) 1571-1588
    • (1998) Neural Networks , vol.11 , pp. 1571-1588
    • Tajine, M.1    Elizondo, D.2
  • 5
    • 0032121021 scopus 로고    scopus 로고
    • Growing methods for constructing recursive deterministic perceptron neural networks and knowledge extraction
    • Tajine, M., Elizondo, D.: Growing methods for constructing recursive deterministic perceptron neural networks and knowledge extraction. Artificial Intelligence 102 (1998) 295-322
    • (1998) Artificial Intelligence , vol.102 , pp. 295-322
    • Tajine, M.1    Elizondo, D.2
  • 13
    • 0041376987 scopus 로고    scopus 로고
    • A neurofuzzy network knowledge extraction and extended gramschmidt algorithm for model subspace decomposition
    • Hong, X., Harris, C.J.: A neurofuzzy network knowledge extraction and extended gramschmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems 11 (2003) 538-541
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , pp. 538-541
    • Hong, X.1    Harris, C.J.2
  • 14
    • 0037333984 scopus 로고    scopus 로고
    • Knowledge extraction from scenery images and recognition using fuzzy inference neural networks
    • Iyatomi, H.: Knowledge extraction from scenery images and recognition using fuzzy inference neural networks. Electronics and Communication in Japan, Part 2 86 (2003) 82-90
    • (2003) Electronics and Communication in Japan, Part 2 , vol.86 , pp. 82-90
    • Iyatomi, H.1
  • 16
    • 1642333234 scopus 로고    scopus 로고
    • Explaining the internal behaviour of artificial neural network river flow models
    • Sudheer, K.P., Jain, A.: Explaining the internal behaviour of artificial neural network river flow models. Hydrological Processes 18 (2004) 833-844
    • (2004) Hydrological Processes , vol.18 , pp. 833-844
    • Sudheer, K.P.1    Jain, A.2
  • 19
    • 0036162464 scopus 로고    scopus 로고
    • Knowledge extraction using artificial neural networks: Application to radar traget identification
    • Remm, J.F., Aexandre, F.: Knowledge extraction using artificial neural networks: application to radar traget identification. Signal Processing 82 (2002) 117-120
    • (2002) Signal Processing , vol.82 , pp. 117-120
    • Remm, J.F.1    Aexandre, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.