Evaluation of artificial neural networks for fungal identification, employing morphometric data from spores of Pestalotiopsis species

Mycological Research

Volumn 102, Issue 8, 1998, Pages 975-984

  Morgan, Alexandra ^a   Boddy, Lynne ^a   Mordue, J Elizabeth M ^b   Morris, Colin W ^c  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b CABI   (United Kingdom)

^c UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; ARTIFICIAL NEURAL NETWORK; FUNGUS; SPORE;

BACTERIA (MICROORGANISMS); FUNGI; MONOCHAETIA; PESTALOTIOPSIS; TRUNCATELLA;

EID: 0031880802     PISSN: 09537562     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0953756297005947     Document Type: Article

References (32)

1. Boddy, L., Gimblett, A. M., Morris, C. W. & Mordue, J. E. M. (1994b). Neural network analysis of fungal spore morphometric data for identification of species in the genus Pestalotiopsis. In Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 4 (ed. C. H. Dagli, B. R. Fernandez, J., Ghosh & R. T. S. Kumara), pp. 605-612. A.S.M.E. Press: New York.
2. Boddy, L., Morris, C. W., Wilkins, M. F., Tarran, G. A. & Burkill, P. H. (1994a). Neural network identification of flow cytometry data for 40 marine phytoplankton species. Cytometry 15, 283-293.
3. Bridge, P., Boddy, L. & Morris, C. W. (1994). Information resources for pest identification - an overview of computer aided approaches. In Identification and Characterization of Pest Organisms (ed. D. L. Hawksworth), pp. 153-167. CAB International: Wallingford.
4. Caudill, M. & Butler, C. (1990). Naturally Intelligent Systems. MIT Press: Cambridge, MA, U.S.A.
5. Fu, L. M. (1994). Neural Networks in Computer Intelligence. McGraw-Hill: New York.
6. Guba, E. F. (1961). Monograph of Monochaetia and Pestalotia. Harvard University Press: Harvard.
7. Haykin, S. (1994). Neural Networks: A Comprehensive Foundation. Maxwell Macmillan International: New York.
8. Kohonen, T. (1988a). An introduction to neural computing. Neural Networks 1, 3-16.
9. Kohonen, T. (1988b). Self-Organisation and Associative Memory, 2nd ed. Springer-Verlag: New York.
10. Kohonen, T. (1990). The self-organising map. Proceedings of IEEE 78, 1464-1480.
11. Lippmann, R. P. (1987). An introduction to computing with neural nets. IEEE Acoustic Speech Signal Processing Magazine 4, 4-22.
12. McClelland, J. L. & Rumelhart, D. E. (1988). Parallel distributed processing: explorations in the microstructure of cognition, Vol. 3: A Handbook of Models, Programs and Exercises. MIT Press: Cambridge, MA.
13. Mordue, J. E. M. (1985). An unusual species of Pestalotiopsis: P. steyaertii sp. nov. Transactions of the British Mycological Society 85, 378-380.
14. Mordue, J. E. M. (1986). Another unusual species of Pestalotiopsis: P. montellicoides sp. nov. Transactions of the British Mycological Society 86, 665-668.
15. Morris, C. W. & Boddy, L. (1992). Intelligent computing in microbiology. Society for General Microbiology Quarterly 19, 70-72.
16. Morris, C. W. & Boddy, L. (1995). Artificial neural networks in identification and systematics of eukaryotic microorganisms. Binary 7, 70-76.
17. Morris, C. W. & 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 & J. Ghosh), pp. 605-612. A.S.M.E. Press: New York.
18. Morris, C. W., Boddy, L. & Allman, R. (1992). Identification of basidiomycete spores by neural network analysis of flow cytometry data. Mycological Research 96, 697-701.
19. Morris, C. W., Boddy, L. & Wilkins, M. F. (1994). Approaches to applying neural networks to the identification of phytoplankton from flow cytometry data. In Intelligent Engineering Systems Through Artificial Network, Vol. 4 (ed. C H. Dagli, B. R. Fernandez, J. Ghosh & R. T. S. Kumara), pp. 619-627. A.S.M.E. Press: New York.
20. Nag Raj, T. R. (1993). Coelomyete Anamorphs with Appendage-Bearing Conidia. Mycologue Publications: Ontario, Canada.
21. Pankhurst, R. J. (1991). Practical Taxonomic Computing. Cambridge University Press: Cambridge, U.K.
22. Petrini, O. & Rusca, C. (1989). Knowledge based expert systems in mycology: tolerance is a necessary attribute. The Mycologist 3, 120-130.
23. Richard, M. D. & Lippmann, R. P. (1991). Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computing 3, 461-483.
24. Rose, D. R. (1992). Rotters - an expert key for the identification of woodrotting fungi in culture. Binary 5, 43-46.
25. Schalkoff, R. J. (1992). Pattern Recognition: Statistical, Structural and Neural Approaches. Wiley International: Chichester.
26. Steyaert, R. L. (1949). Contribution à l'étude monographique de Pestalotia de Not. et Monochaetia Sacc. (Truncatella gen. nov. et Pestalotiopsis gen. nov.). Bulletin du Jardin Botanique de l'État Bruxelles 19, 285-354.
27. Steyaert, R. L. (1953a). New and old species of Pestalotiopsis. Transactions of the British Mycological Society 36, 81-89.
28. Steyaert, R. L. (1953b). Pestalotiopsis from the Gold Coast and Togoland. Transactions of the British Mycological Society 36, 235-242.
29. Wilkins, M. F., Boddy, L. & Morris, C. W. (1994a). Kohonen maps and learning vector quantization neural networks for analysis of multivariate biological data. Binary 6, 64-72.
30. Wilkins, M. F., Boddy, L. & Morris, C. W. (1994b). A comparison of radial basis function and backpropagation neural networks for the identification of marine phytoplankton from multivariate flow cytometry data. CABIOS 10, 285-294.
31. Wilkins, M. F., Morris, C. W. & Boddy, L. (1996). A comparison of some neural and non-neural methods for identification of phytoplankton from flow cytometry data. CABIOS, 12, 9-18.
32. Woolley, J. B. & Stone, N. D. (1987). Application of artificial intelligence to systematics: SYSTEX - a prototype expert system for species identification. Systematic Zoology 36, 248-267.