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Description
  • Využití neuronových sítích v aplikacích technických zařízení budov (cs)
  • 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.
  • 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. (en)
Title
  • ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS
  • VYUŽITÍ NEURONOVÝCH SÍTÍ V SYSTÉMECH TZB (cs)
  • ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS (en)
skos:prefLabel
  • ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS
  • VYUŽITÍ NEURONOVÝCH SÍTÍ V SYSTÉMECH TZB (cs)
  • ARTIFICIAL NEURAL NETWORKS UTILIZATION WITHIN BUILDING ENERGY AND ENVIRONMENTAL SYSTEMS (en)
skos:notation
  • RIV/68407700:21110/09:01155148!RIV09-MSM-21110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770003)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 304101
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/09:01155148
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ANN; artificial neural network; HVAC control, building services (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [519D20129BB9]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • XII Mezinárodní vědecká konference Technická zařízení staveb a energie budov
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Adamovský, Daniel
  • Kabele, Karel
  • Urban, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Akademické nakladatelství CERM
https://schema.org/isbn
  • 978-80-7204-629-4
http://localhost/t...ganizacniJednotka
  • 21110
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