Pollution level predictor using artificial neural networks trained with galactic swarm optimization algorithms
Nilay Nigam,D. Geraldine Bessie Amali +1 more
- Vol. 263, Iss: 4, pp 042093
Reads0
Chats0
About:
The article was published on 2017-11-01 and is currently open access. It has received 1 citations till now. The article focuses on the topics: Swarm behaviour & Artificial neural network.read more
Citations
More filters
Journal ArticleDOI
Optimal total harmonic distortion minimization in multilevel inverter using improved whale optimization algorithm
TL;DR: The proposed IWOA provides better computational efficiency, improved consistency and faster convergence compared to the older whale optimization algorithm (WOA) with minimal tuning of the algorithm’s parameters.
References
More filters
Journal ArticleDOI
Air quality model performance evaluation
Joseph C. Chang,Steven R. Hanna +1 more
TL;DR: A review is given of a set of model evaluation methodologies, including the BOOT and the ASTM evaluation software, Taylor’s nomogram, the figure of merit in space, and the CDF approach.
Journal ArticleDOI
A neural network forecast for daily average PM10 concentrations in Belgium
TL;DR: In this article, the authors used a neural network to forecast the daily average PM 10 concentrations in Belgium one day ahead based upon measurements from ten monitoring sites during the pe riod 1997 -2001 and upon ECMWF simulations of meteorological parameters.
Journal ArticleDOI
A model inter-comparison study focussing on episodes with elevated PM10 concentrations
R. Stern,Peter J. H. Builtjes,Martijn Schaap,Renske Timmermans,Robert Vautard,Alma Hodzic,Michael Memmesheimer,Hendrik Feldmann,E. Renner,Ralf Wolke,A. Kerschbaumer +10 more
TL;DR: In this paper, five three-dimensional chemical transport models of different complexity were applied to Central Europe to assess the ability of models to reproduce PM10 concentrations under highly polluted conditions, and the results showed that there is an increasing underestimation of primary and secondary species with increasing observed PM10.
Journal ArticleDOI
Evaluation and intercomparison of Ozone and PM10 simulations by several chemistry transport models over four European cities within the CityDelta project
Robert Vautard,Robert Vautard,P.H.J. Builtjes,Philippe Thunis,C. Cuvelier,M. Bedogni,Bertrand Bessagnet,Cécile Honore,Nicolas Moussiopoulos,Guido Pirovano,Martijn Schaap,R. Stern,Leonor Tarrasón,Peter Wind +13 more
TL;DR: In this article, the authors compared six different models to simulate a full year (1999) of air quality pollutant concentrations over domains encompassing a large area around four major European cities: Berlin, Milan, Paris and Prague.
Journal ArticleDOI
Galactic Swarm Optimization
TL;DR: Extensive simulation results show that the GSO algorithm proposed in this paper converges faster to a significantly more accurate solution on a wide variety of high dimensional and multimodal benchmark optimization problems.
Related Papers (5)
PSO trained Neural Networks for predicting forest fire size: A comparison of implementation and performance
Jeremy J Storer,Robert C. Green +1 more
Reinforcement learning for neural networks using swarm intelligence
Matthew Conforth,Yan Meng +1 more