<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran</strong>

<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran</strong>

Today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in Ecology. Purpose of this research is to predict and map the distribution of Tetranychus urticae Koch (Acari: Tetranychidae) using MLP neural networks combined with g...

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Bibliographic Details
Main Authors: Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi Sohani
Format: Article
Language:English
Published: Acarological Society of Iran 2017-01-01
Series:Persian Journal of Acarology
Subjects:
Genetic algorithms
Khuzestan province
neural network
spatial distribution
Tetranychus urticae.
Online Access:https://www.biotaxa.org/pja/article/view/26019
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