Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro-Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)

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ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org

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"Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro-Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)"
written by Maria del Carmen Cabrera-Hernandez, Marco Antonio Aceves-Fernandez, Juan Manuel Ramos-Arreguin, Jose Emilio Vargas-Soto, Efren Gorrostieta-Hurtado,
published by International Journal of Intelligence Science, Vol.9 No.3, 2019

has been cited by the following article(s):

[1]	Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks
	2020

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[1]	Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach Applied Sciences, 2021 DOI:10.3390/app12010256

[2]	Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks Earth Science Informatics, 2020 DOI:10.1007/s12145-020-00462-9