NEURAL NETWORK MODELS TO PREDICT PENETRATION OF WILD BOAR INTO CULTIVATED FIELDS
1996 ◽
Vol 04
(03)
◽
pp. 433-444
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Keyword(s):
Wildlife managers need to evaluate the regional risk of damage by big game in any cultivated plot. Nevertheless, such an evaluation can be biased by nonlinearity, a common difficulty when facing ecological problems. We propose a model for the impact of wild boars on cultivated fields, based on artificial neural networks, with a backpropagation algorithm. The first model, predicting the frequency of impact on a particular plot, gives a good determination coefficient (R2=0.91). The second model, predicting the presence or absence of impact during a particular week, gives over 80 % correct results.
2021 ◽
2007 ◽
Vol 362
(1479)
◽
pp. 421-430
◽
2020 ◽
Vol 4
(2)
◽
pp. 73
2019 ◽
Vol 7
◽
pp. 625-641
◽
2021 ◽