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Artificial Neural Networks

Chapter
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Part of the SpringerBriefs in Energy book series (BRIEFSENERGY)

Abstract

This chapter intends to demonstrate the performance and reliability of ANN in predicting large scale data not only for a single parameter, but for three of them (energy consumption, energy demand and CO2 emissions) in relation to a large-scale sample of buildings, with all the issues associated to them, such as the nonlinearity of problems related to building design and performance.

Keywords

Cooling Demand Multilayer Perceptron Model MLR Model Window-to-wall Ratio (WWR) Cooler Emission 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© The Author(s) 2018

Authors and Affiliations

  1. 1.Higher Technical School of Building EngineeringUniversidad de SevillaSevilleSpain
  2. 2.Faculty of Construction, Architecture and DesignUniversidad Del Bío-BíoConcepción, VIII–ConcepciónChile

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