Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.

scientific article published on September 2004

Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1016/J.ENVRES.2003.11.003
P698PubMed publication ID15261787
P5875ResearchGate publication ID8447384

P50authorWei-Zhen LuQ40292661
Joseph C. LamQ61826757
P2093author name stringWen-Jian Wang
Xie-Kang Wang
Sui-Hang Yan
P433issue1
P921main subjecturbanizationQ161078
P1104number of pages9
P304page(s)79-87
P577publication date2004-09-01
P1433published inEnvironmental ResearchQ5381161
P1476titlePotential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong
P478volume96

Reverse relations

cites work (P2860)
Q36962586Evaluating impact level of different factors in environmental impact assessment for incinerator plants using GM (1, N) model
Q59295837Nearshore Wave Predictions Using Data Mining Techniques during Typhoons: A Case Study near Taiwan’s Northeastern Coast
Q41153113Spatial modeling of PM2.5 concentrations with a multifactoral radial basis function neural network

Search more.