Using Thermography and Artificial Neural Networks in Civil Engineering
Tomme: 62 (66) Fascicle: 2 | 2016
Pages: 29-36
Abstract text:
By applying the thermography and neural networks, a diagnosis of the heat loss can establish, followed by the state of a building. The infrared images recorded by the camera, obtained through the thermography, will be the input data for the artificial neural network. For this type of problem, a feed-forward, multilayer, supervised neural network is adopted and trained with a back-propagation algorithm. The activation function used in this matter is a function specific to the information classification problems, namely the step function.
Key Words:
diagnosis; heat loss; back-propagation algorithm; surface; temperature.
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