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Regression analysis / Actuarial science / Air pollution / Linear regression / Particulates / Chemometrics / Statistics / Pollution / Econometrics


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Document Date: 2010-09-27 14:31:05

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City

Santos / Porto / Santiago / Lin / Oporto / Milan / Boston / /

Company

Princeton University Press / Generation N 60 40 20 0 SO2 CO / Pearson / MIT Press / Creative Commons / Intelligent Laboratory Systems / /

Continent

Europe / /

Country

Portugal / Chile / /

/

Event

Environmental Issue / /

/

IndustryTerm

insurance using genetic programming / neural network / urban site / neural networks / genetic algorithms / feed‐forward neural networks / search strategy / analytical tool / chemical reaction / artificial neural networks / search algorithm / /

NaturalFeature

Douro River / /

Organization

Universidade do Porto / MIT / Princeton University / European Union / Instituto Geofísico / /

Person

Maria C. Pereira / Fernando G. Martins / Jose C.M. Pires / MAE RMSE / Maria C.M. Alvim / Roberto Frias / /

/

Position

adequate model for nonlinear relationships between variables / Prime Minister / correspondent / feed‐forward / Corresponding Author / period Model / representative for all Oporto Metropolitan Area / /

Product

M-16 / M-9 / /

ProgrammingLanguage

EC / /

ProvinceOrState

Y.T. / Massachusetts / /

PublishedMedium

Machine Learning / /

Region

Northern Portugal / /

Technology

genetic algorithms / neural network / MGP algorithm / search algorithm / dielectric / spectroscopy / Machine Learning / /

URL

www.atmospolres.com / /

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