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Volumn 43, Issue 1, 2000, Pages 3-31

Artificial neural networks: Fundamentals, computing, design, and application

Author keywords

Artificial neural networks; Backpropagation; Growth curves; History; Modeling; S. flexneri

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; GROWTH CURVE; INFORMATION PROCESSING; LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONHUMAN; PRIORITY JOURNAL; PROBLEM SOLVING; SHIGELLA FLEXNERI;

EID: 0034564603     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(00)00201-3     Document Type: Article
Times cited : (2623)

References (95)
  • 2
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. I. Preliminary concepts
    • (2000) J. Hydro. Eng. ASCE , vol.5 , pp. 115-123
  • 19
    • 0030308752 scopus 로고    scopus 로고
    • Evaluation of model discrimination techniques in artificial neural networks with application to grain drying
    • Dagli, C.H. et al. (Eds.). Artificial Neural Networks In Engineering, ANNIE
    • (1996) , vol.6 , pp. 939-950
    • Garth, A.D.N.1    Rollins, D.K.2    Zhu, J.3    Chen, V.C.P.4
  • 23
    • 0031208033 scopus 로고    scopus 로고
    • Use of pyrolysis mass spectrometry with supervised learning for the assessment of the adulteration of milk of different species
    • (1997) Appl. Spectrosc. , vol.51 , pp. 1144-1153
    • Goodacre, R.1
  • 25
    • 0030308809 scopus 로고    scopus 로고
    • The growth of Escherichia coli O157:H7 - A backpropagation neural network approach
    • Dagli, C.H. et al. (Eds.), Proceedings ANNIE'96 - Intelligent Engineering Systems Through Artificial Neural Networks. ASME Press
    • (1996) , pp. 635-640
    • Hajmeer, M.N.1    Basheer, I.A.2    Najjar, Y.M.3
  • 30
    • 0000167895 scopus 로고
    • Backpropagation: Some comments and variations
    • Rumelhart, D.E., Yves, C. (Eds.), Backpropagation: Theory, Architecture, and Applications. Lawrence Erlbaum, NJ
    • (1995) , pp. 237-271
    • Hanson, S.J.1
  • 36
    • 0007243608 scopus 로고
    • Backpropagation
    • Braspenning, P.J. et al. (Eds.), Artificial Neural Networks, An Introduction to ANN Theory and Practice. Lecture Notes in Computer Science. Springer, NY
    • (1995) , pp. 37-66
    • Henseler, J.1
  • 38
    • 0002071314 scopus 로고
    • The problem of extracting the knowledge of experts from the perspective of experimental psychology
    • (1987) AI Mag. , vol.8 , pp. 53-67
    • Hoffman, R.1
  • 41
    • 0000731650 scopus 로고    scopus 로고
    • Classification of microbial defects in milk using a dynamic headspace gas chromatograph and computer-aided data processing. 2. Artificial neural networks, partial least-squares regression analysis, and principal component regression analysis
    • (1997) J. Agric. Food Chem. , vol.45 , pp. 743-747
    • Horimoto, Y.1    Karoline, L.2    Nakai, S.3
  • 42
    • 0345001846 scopus 로고
    • Choosing and using a neural net
    • Braspenning, P.J. et al. (Eds.), Artificial Neural Networks, An Introduction to ANN Theory and Practice. Lecture Notes in Computer Science. Springer, NY
    • (1995) , pp. 273-287
    • Hudson, P.1    Postma, E.2
  • 47
    • 0026995495 scopus 로고
    • ChiMerge: Discretization of numeric attributes
    • AAAI-92, Proceedings of the 9th National Conference on AI. MIT Press, Cambridge, MA
    • (1992) , pp. 123-128
    • Kerber, R.1
  • 50
    • 0031295304 scopus 로고    scopus 로고
    • Detecting rare signatures
    • Dagli, C.H. et al. (Eds.). Artificial Neural Networks in Engineering, ANNIE, ASME Press, NY
    • (1997) , vol.7 , pp. 521-526
    • Lakshmanan, V.1
  • 51
    • 0026376527 scopus 로고
    • The effect of initial weights on premature saturation in backpropagation learning
    • Proceedings of an International Joint Conference on Neural Networks, Seattle, WA
    • (1991) , pp. 765-770
    • Lee, Y.1    Oh, S.H.2    Kim, M.3
  • 52
    • 84943245391 scopus 로고
    • Acceleration of backpropagation through initial weight pre-training with Delta rule
    • Proceedings of an International Joint Conference on Neural Networks, San Francisco, CA
    • (1993) , pp. 580-585
    • Li, G.1    Alnuweiri, H.2    Wu, W.3
  • 55
    • 0007176647 scopus 로고
    • A logical topology of neural networks
    • Proceedings of the Second Workshop on Neural Networks, WNN-AIND 91
    • (1991)
    • Maren, A.J.1
  • 59
    • 0242401012 scopus 로고
    • Networks with learned unit response functions
    • Moody, J. et al. (Eds.). Advances in Neural Information Processing Systems. Morgan Kaufmann, San Mateo, CA
    • (1992) , vol.4 , pp. 1048-1055
    • Moody, J.1    Yarvin, N.2
  • 62
    • 0025536870 scopus 로고
    • Improving the learning speed of two-layer neural networks by choosing initial values of the adaptive weights
    • Proceedings of an IEEE International Joint Conference on Neural Networks, San Diego, CA
    • (1990) , pp. 21-26
    • Nguyen, D.1    Widrow, B.2
  • 65
    • 0028560798 scopus 로고
    • Neural networks in engineering
    • Rzevski, G. et al. (Eds.), Applications of Artificial Intelligence in Engineering IX, AIENG/94, Proceedings of the 9th International Conference. Computational Mechanics Publications, Southampton
    • (1994) , pp. 3-36
    • Pham, D.T.1
  • 70
    • 0000646059 scopus 로고
    • Learning internal representation by error propagation
    • Rumelhart, D.E., McClleland, J.L. (Eds.). Parallel Distributed Processing: Exploration in the Microstructure of Cognition. MIT Press, Cambridge, MA, Chapter 8
    • (1986) , vol.1
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 78
    • 0007309524 scopus 로고
    • An initial investigation of integrating neural networks with GIS for spatial decision making
    • Proceedings GIS/LIS 92, San Jose, CA
    • (1992)
    • Sui, D.Z.1
  • 79
    • 0007246204 scopus 로고    scopus 로고
    • Function approximation and prediction: A comparative study with neural networks and regression models
    • Proceedings of Intelligent Engineering Systems Through Artificial Neural Networks, ANNIE
    • (1997) , pp. 70-84
    • Sun, X.1    Wang, Q.2    Zhu, D.3
  • 81
    • 0030744772 scopus 로고    scopus 로고
    • Rapid quantitative analysis of binary mixtures of Escherichia coli strains using pyrolysis mass spectrometry with multivariate calibration and artificial neural networks
    • (1997) J. Appl. Microbiol. , vol.83 , pp. 208-218
    • Timmins, E.M.1    Goodacre, R.2
  • 82
    • 0030681183 scopus 로고    scopus 로고
    • Validation and verification
    • Kartam, N., Flood, I. (Eds.), Artificial Neural Networks for Civil Engineers: Fundamentals and Applications. ASCE
    • (1997) , pp. 44-64
    • Twomey, J.1    Smith, A.2
  • 89
    • 0025635525 scopus 로고
    • Connectionist nonparametric regression - Multilayer feedforward networks can learn arbitrary mappings
    • (1990) Neural Networks , vol.3 , pp. 535-549
    • White, H.1
  • 90
    • 0025488663 scopus 로고
    • 30 Years of adaptive neural networks: Perceptron, Madaline, and backpropagation
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1415-1442
    • Widrow, B.1    Lehr, M.A.2
  • 92
    • 84943231282 scopus 로고
    • A new acceleration technique for the backpropagation algorithm
    • Proceedings of the IEEE International Conference on Neural Networks, San Francisco, CA
    • (1993) , pp. 1157-1161
    • Yu, X.1    Loh, N.2    Miller, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.