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ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F09%3A01155148" target="_blank" >RIV/68407700:21110/09:01155148 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS

  • Original language description

    Information technology progress influences all of our life. Modern buildings are significant example of formation of indoor climate conditions including all HVAC systems within a building. As our qualitative requirements increase, grows also importance of building energy performance as well as energy performance of all systems. Along with high efficiency components is significant factor related to systems control. Present status of regulation and control systems allow incorporation of highly sophistic procedures. One of these procedures is utilization of artificial neural networks as computational core of the control system. These artificial neural networks offer possibility of approximation of large scale and complex mathematical models. So much simpler approach in mutual relationships between inputs, parameters and outputs replace original model. Another great advantage lies in learning ability from previous results and supplied data. These possibilities discusses following paper.

  • Czech name

    VYUŽITÍ NEURONOVÝCH SÍTÍ V SYSTÉMECH TZB

  • Czech description

    Využití neuronových sítích v aplikacích technických zařízení budov

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    XII Mezinárodní vědecká konference Technická zařízení staveb a energie budov

  • ISBN

    978-80-7204-629-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Akademické nakladatelství CERM

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 20, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article