Hybrid Particle Swarm and Conjugate Gradient Optimization in Neural Network for Prediction of Suspended Particulate Matter

Hybrid Particle Swarm and Conjugate Gradient Optimization in Neural Network for Prediction of Suspended Particulate Matter

The scope of this research is the use of artificial neural network models and meta-heuristic optimization of Particle Swarm Optimization (PSO) for the prediction of ambient air pollution parameter data at air quality monitoring stations in the city of Semarang, Central Java. The observed parameter i...

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Bibliographic Details
Main Authors: Warsito Budi, Prahutama Alan, Yasin Hasbi, Sumiyati Sri
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Subjects:
air pollution
spm
pso
neural network
conjugate gradient
prediction
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_25007.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_25007.pdf

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