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Biodiversity Literature Repository
Published January 15, 2017 | Version v1
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Hybrid neural network with genetic algorithms for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran

Creators

  • 1. . Department of Plant Protection, Faculty of Agriculture, Shahrood University, Shahrood, Iran; E-mail: shabanialireza565@gmail.com
  • 2. . Department of Plant Production and Sustainable Agriculture, Iranian Research Organization for Science and Technology, Tehran, Iran; E-mail: tafaghodinia@gmail.com
  • 3. . Department of Plant Protection, Faculty of Agriculture, Ramin Agricluture and Natural Resources University of Khuzestan, Ahvaz, Iran; E-mail: nzandisohani@yahoo.com

Description

Shabaninejad, Alireza, Tafaghodinia, Bahram, Sohani, Nooshin Zandi (2017): Hybrid neural network with genetic algorithms for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran. Persian Journal of Acarology 6 (1): 53-62, DOI: 10.22073/pja.v6i1.26019, URL: https://www.mendeley.com/catalogue/bd78f6ea-750a-344e-981f-25426dc1f266/

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urn:lsid:plazi.org:pub:FFE4FF974438FFEC5B2EA6003F1D842F

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Figure: 10.5281/zenodo.7173855 (DOI)

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