Neural networks and periodic components used in air quality forecasting
By Mikko T. Kolehmainen, H. Martikainen, J. Ruuskanen. 2001
330 citations recorded by the source corpus.
Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/978b39dbeb8b337612ec7d53f38a74950bfcde18
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In Environmental Engineering
In Health, Toxicology and Mutagenesis
Citations in the corpus
- Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum (2003, unknown): “software [199, 283, 336, 338, 391, 423, 636, 455, 520, 557, 560, 581, 834, 709, 805, 904, 905, 1110, 1253, 1285, 1355, 1378, 1384, 1449, 1464, 1500, 1509, 1530, 1668, 1672, 1722, 1732, 1795, 1794, 2087, 1833, 1874, 1897, 2032, 2033, 2031] solder joint(s) [840, 1499, 2051] sonar [14, 245, 739, 860, 1”
- Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. (2017, methodology): “Typical examples include the widely employed multilayer perceptron (MLP) (Paschalidou et al., 2011), back propagation neural network (BPNN) (Kolehmainen et al., 2001), radial basis function neural network (RBF NN) (Lu et al., 2002), neuro-fuzzy neural network (NFNN) (Mishra and Goyal, 2016),…”
- Using Seven Types of GM (1, 1) Model to Forecast Hourly Particulate Matter Concentration in Banciao City of Taiwan (2011, methodology): “…to adequately model complex, nonlinear phenomena, and chemical procedures, artificial neural networks (ANN) and fuzzy logic approach have been widely applied because they could simulate nonlinear data well (Pérez et al. 2000; Kolehmainen et al. 2001; Wang et al. 2003; Slini et al. 2006).”
- A review of artificial neural network models for ambient air pollution prediction (2019, background): “This observation is true for at least the prediction of NO2, O3, SO2 and CO in urban environments (Chelani et al., 2002; Guardani et al., 1999; Kao & Huang, 2000; Kolehmainen et al., 2001; Schlink et al., 2006; Slini et al., 2006).”