Neural network models to predict penetration of wild boar into cultivated fields

Journal of Biological Systems

Volumn 4, Issue 3, 1996, Pages 433-444

  Spitz, F ^a   Lek, S ^b   Dimopoulos, I ^b  

^a CEMAGREF   (France)

^b CNRS   (France)

Author keywords

Backpropagation; Boar; Discriminant analysis; Factorial analysis; Mammal; Multiple regression; Neural network

Indexed keywords

EID: 0345104157     PISSN: 02183390     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218339096000296     Document Type: Article

References (21)

1. Abdi H., A neural network primer, J. Biol. Syst. 2 (1994) pp. 247-281.
2. Abdi H., Les réseaux de neurones (Presses Universitaire de Grenoble, Grenoble, 1994).
3. Bateson P. and Horn G., Imprinting and recognition memory: a neural net model, Anim. Behav. 48 (1994) pp. 695-715.
4. Bazoon M., Stacey D. A., Cui C. and Harauz G., A hierarchical artificial neural network system for the classification of cortical cells. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3525-3529.
5. Belenky G., Sing H. C., Thomas M. L., Shaham Y., Balwinski S., Thorne D. R., Redmond D. P. and Balkin J. T., Discrimination of rested from sleep-deprived EEG in awake normal humans by artificial neural network. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3521-3524.
6. Blazek , Pancoska P. and Keiderling T. A., Backpropagation neural network analysis of circular dichroism spectra of globular proteins, Neurocomputing 3 (1991) pp. 247-257.
7. Carpenter G. A., Neural network models for patter recognition and associative memory, Neural Networks 2 (1989) pp. 243-257.
8. Casselman F. L., Freeman D. F., Kerrigan D. A., Lane S. E., Magley D. M., Millstrom N. H. and Roy C. R., A neural network-based underwater acoustic application. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3409-3414.
9. Delattre P., Spitz F., Giraudoux P., Cousse S., Quere J. P., Valet G., Deblay S., Fichet E. and Salvi D., Prise en compte des structures paysagères dans le fonctionnement et la gestion des populations animales. Colloque final du programme AGROTECH "Dynamique des espaces ruraux, agricultures et environnement", (Versailles, Nov. 1993) p. 12.
10. Gallant S. I., Neural Network Learning and Expert Systems (The MIT Press, Cambridge, 1993).
11. Knuth B. A., Stout R. J., Siemer W. F., Decker D. J. and Stedman R. C., Risk management concepts for improving wildlife population decisions and public communication strategies, Trans. 57th N.A. Wildlife and Nature Reserve Conf. (1992) pp. 63-74.
12. Laporte T., Le Sanglier en milieu naturel. Memoire de fin d'etudes, ENITA Bordeaux, 1991.
13. Lek S., Lauga J., Giraudel J. L., Baran P. and Delacoste M., Example of an application of formal neural networks in the environmental sciences. In Proc. of the Int. Meeting on Ecology and Statistical Methods, ed. by Bretagnolle V. and Beninel F. (Niort, France, 1994) pp. 73-82.
14. Lerner B., Guterman H., Dinstein I. and Romen Y., A comparison of multilayer perceptron neural network and bayes piecewise classifier for chromosome classification. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3472-3477.
15. Lerner B., Feature selection and chromosome classification using a multilayer perception neural network. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3540-3545.
16. Pattichis C. S., Schizas C. N., Sergiou A. and Schnorrenberg, A hybrid neural network electromyographic system: incorporating the WISARD net. In Proc. IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3478-3483.
17. Rumelhart D. E., Hinton G. E. and Williams R. J., Learning representations by back-propagating error, Nature 323 (1986) pp. 533-536.
18. Smits J. R. M., Breedveld L. W., Derksen M. W. J., Kateman G., Balfoort H. W., Snoek J. and Hofstraat J. W., Pattern classification with artificial neural networks: classification of algae, based upon flow cytometer data, Anal. Chim. Acta 258 (1992) pp. 11-25.
19. Weigend A. S., Huberman B. A. and Rumelhart D. E., Predicting sunspots and exchange rates with connectionist networks, in Nonlinear Modeling and Forecasting, SFI Studies. ed. by Casdagli M. and Eubank S.: The Sciences of Complexity, Proceedings Vol. XII (Addison-Wesley, 1992) pp. 395-432.
20. Zheng B., Quian W. and Clarke L. P., Multistage neural network for pattern recognition in mammogram screening. In Proc. of the IEEE Int. Conf. on Neural Networks (Orlando, Florida, 1994) pp. 3437-3441.
21. Zhu K., Noakes P. D. and Green A. D. P., Training neural networks for ECG feature recognition. in Proc. Int. Neural Networks Conf., Paris July 9-13, 1990, (Kluwer Academic Publ., Dordrecht, 1990) pp. 137-140.