Effects of missing data on neural network identification of biological taxa: RBF network discrimination of phytoplankton from flow cytometry data

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 1998, Issue , 1998, Pages 655-660

  Boddy, Lynne ^a   Wilkins, Malcolm F ^a   Morris, Colin W ^b  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGAE; DATA STRUCTURES; FUNCTIONS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

FLOW CYTOMETRY; PHYTOPLANKTON; RADIAL BASIS FUNCTION; TAXA;

NEURAL NETWORKS;

EID: 0032292088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (8)

1. Ahmad, S. and Tresp, V. (1993). Classification with missing and uncertain inputs. Proceedings IEEE International Conference on Neural Networks, San Fransisco, CA, pp. 1949 -1954.
2. Chen, S., Cowan, C.F.N. and Grant, P.M. (1991). Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on Neural Networks 2, 302 - 309.
3. Gupta, A. and Lam, M.S. (1996). Estimating missing values using neural networks. Journal of the Operational Research Society 47, 229-238.
4. Morgan, A., Boddy, L., Morris, C.W. and Mordue, J.E.M. (1998). Identification of species in the genus Pestalotiopsis from spore morphometric data: a comparison of some neural and non-neural methods. Mycological Research, (in press)
5. Morris, C.W. and Boddy, L. (1996). Classification as unknown by RBF networks: discriminating phytoplankton taxa from flow cytometry data. In: Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 6. (ed. C.H. Dagli, M. Akay, C.L.P. Chen, B.R. Fernandez and J. Ghosh). ASME Press, New York, pp. 629 - 634.
6. Sharpe, P.K. and Solly, R.J. (1995). Dealing with missing values in neural-network based diagnostic systems. Neural Computing and Applications 3, 73-77.
7. Wilkins, M.F., Boddy, L., Morris, C.W. and Jonker, R. (1996). A comparison of some neural and non-neural methods for identification of phytoplankton from flow cytometry data. CABIOS 12, 9 - 18.
8. Wilkins, M.F., Morris, C.W. and Boddy, L. (1994). A comparison of radial basis function and backpropagation neural networks for identification of marine phytoplankton from multivariate flow cytometry data. CABIOS 10, 285-294.