Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm

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ALEOSFOOR MARYAM; MINAEI KAMBIZ; BAGHERI FAEZEH

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Paper Information

Journal: Journal of Entomological Society of Iran Year:2020 | Volume:40 | Issue:3 Page(s): 295-308

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Title

Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm

Author(s)

ALEOSFOOR MARYAM | MINAEI KAMBIZ | BAGHERI FAEZEH | Issue Writer Certificate

Keywords

Neural networkQ1

spatial distributionQ1

Bird cherry-oat aphidQ1

Abstract

Nowadays, with the advent of powerful statistical techniques and Neural networks, predictive models of distribution have been rapidly developed in ecology. This study was carried out to model distribution of aphid, Rhopalosiphum padi, using MLP Neural networks combined with Particle Swarm Optimiza-tion in wheat fields of Badjgah area, Fars province. Population data of the pest was obtained by sam-pling at 100 locations across wheat fields during 2013. For evaluation the capability of Neural networks used in dispersal prediction, statistical comparison of parameters such as mean, variance, statistical distribution of spatial predicted values by Neural network and their actual values, were conducted. Re-sults showed that there were not significant differences between variance, mean and statistical distribu-tion of actual and predicted values in training and test phases of Neural network combined Particle Swarm Optimization algorithm. Our map showed a patchy pest distribution offers large potential for using site-specific pest control on this field.

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APA: Copy

ALEOSFOOR, MARYAM, MINAEI, KAMBIZ, & BAGHERI, FAEZEH. (2020). Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm. JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI), 40(3 ), 295-308. SID. https://sid.ir/paper/393175/en

Vancouver: Copy

ALEOSFOOR MARYAM, MINAEI KAMBIZ, BAGHERI FAEZEH. Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm. JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI)[Internet]. 2020;40(3 ):295-308. Available from: https://sid.ir/paper/393175/en

IEEE: Copy

MARYAM ALEOSFOOR, KAMBIZ MINAEI, and FAEZEH BAGHERI, “Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm,” JOURNAL OF ENTOMOLOGICAL SOCIETY OF IRAN (JESI), vol. 40, no. 3 , pp. 295–308, 2020, [Online]. Available: https://sid.ir/paper/393175/en

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