Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Coarse Grain Modeling of the Thermal Behavior of Residential Structures Using Neural Networks
This paper reports on an on-going research project concerned with developing an alternative approach to simulating the thermal behavior of residential buildings, based on artificial neural networks (ANNs). The primary objective is to capitalize on the modeling versatility of neural networks to facilitate coarse-grain modeling of complicated composite structures, and to allow design variables to be treated as simple inputs to the model. This approach, in contrast to more conventional modeling approaches (such as the finite element or finite difference methods), enables models to be built quickly, reduces the processing time of a simulation, and allows alternative designs to be evaluated without having to rebuild the model. Such a tool will enable a large number of alternative design decisions to be evaluated within a short period of time, thus allowing an architectural design to be fine-tuned to minimize life cycle costs.
Coarse Grain Modeling of the Thermal Behavior of Residential Structures Using Neural Networks
This paper reports on an on-going research project concerned with developing an alternative approach to simulating the thermal behavior of residential buildings, based on artificial neural networks (ANNs). The primary objective is to capitalize on the modeling versatility of neural networks to facilitate coarse-grain modeling of complicated composite structures, and to allow design variables to be treated as simple inputs to the model. This approach, in contrast to more conventional modeling approaches (such as the finite element or finite difference methods), enables models to be built quickly, reduces the processing time of a simulation, and allows alternative designs to be evaluated without having to rebuild the model. Such a tool will enable a large number of alternative design decisions to be evaluated within a short period of time, thus allowing an architectural design to be fine-tuned to minimize life cycle costs.
Coarse Grain Modeling of the Thermal Behavior of Residential Structures Using Neural Networks
Flood, Ian (Autor:in) / Issa, R. Raymond (Autor:in)
Information Technology in Civil Engineering International Workshop 2002 ; 2002 ; Washington, D.C., United States
Computing in Civil Engineering (2002) ; 336-345
17.10.2002
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Course Grain Modeling of the Thermal Behavior of Residential Structures Using Neural Networks
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