Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms

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

"Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms"
written by Elizabeth Martinez-Zeron, Marco A. Aceves-Fernandez, Efren Gorrostieta-Hurtado, Artemio Sotomayor-Olmedo, Juan Manuel Ramos-Arreguín,
published by International Journal of Intelligence Science, Vol.4 No.4, 2014

has been cited by the following article(s):

[1]	Exploring the topology of progressive disease data
	2023

[2]	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
	2021

[3]	IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches
	2021

[4]	An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10)
	2019

[5]	Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro-Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)
	2019

[6]	一种基于差分进化混合粒子群算法的多无人机航迹规划
	2018

[7]	Ant colony prediction by using sectorized diurnal mobility model for handover management in PCS networks
	Wireless Networks, 2017

[8]	PARTICULATE MATTER 2.5 AIR POLLUTION FORECASTING BASED ON ARTIFICIAL INTELLIGENCE
	International Multidisciplinary Scientific GeoConference: SGEM: Surveying Geology & mining Ecology Management, 2016

[9]	Knowledge-Based Intelligent Process Control
	New Approaches in Intelligent Control, 2016

[10]	Розв'язання динамічної задачі комівояжера з використанням поведінкової моделі колонії мурах в багатоагентних системах
	2016

[1]	Enabling AI Applications in Data Science Studies in Computational Intelligence, 2021 DOI:10.1007/978-3-030-52067-0_20

[2]	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms Journal of Vibroengineering, 2021 DOI:10.21595/jve.2020.21730

[3]	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms Journal of Vibroengineering, 2021 DOI:10.21595/jve.2020.21730

[4]	An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10) Evolving Systems, 2019 DOI:10.1007/s12530-019-09263-y

[5]	Ant colony prediction by using sectorized diurnal mobility model for handover management in PCS networks Wireless Networks, 2017 DOI:10.1007/s11276-017-1590-2

[6]	New Approaches in Intelligent Control Intelligent Systems Reference Library, 2016 DOI:10.1007/978-3-319-32168-4_7