کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4375357 | 1303262 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species](/preview/png/4375357.png)
چکیده انگلیسی
The use of multi-layer perceptrons (MLP) to determine the relative significance of climatic variables to the establishment of insect pest species is described. Results show that the MLP are able to learn to accurately predict the establishment of a pest species within a specific geographic region. Analysis of the MLP yielded insights into the contribution of the individual input variables and allowed for the identification of those variables that were most significant in either encouraging or inhibiting establishment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 3, Issue 1, 1 January 2008, Pages 64-74
Journal: Ecological Informatics - Volume 3, Issue 1, 1 January 2008, Pages 64-74
نویسندگان
Michael J. Watts, S.P. Worner,