Dear Sina Nahvi,
thank you for your interesting presentation.
I have a question regarding the input layer of the utilized ANN. In your presentation, 7 diverse sensorial data were detected.
Did you use all these 7 data as an input to the ANN?
Dear Tiziana Segreto,
thanks for your question.
As you mentioned, we collected data from 7 different sensors. For each dependent variable (i.e. all mentioned variables except wet bulb temperature and humidity, which are environmental data), a network with 6 input and 1 output was trained. In such a way, that each time, one of the dependent variables was used as output and the other 6 remaining variables were used as input.
Dear Sina Nahvi,
thank you for your interesting presentation.
I have a question regarding the input layer of the utilized ANN. In your presentation, 7 diverse sensorial data were detected.
Did you use all these 7 data as an input to the ANN?
Dear Tiziana Segreto,
thanks for your question.
As you mentioned, we collected data from 7 different sensors. For each dependent variable (i.e. all mentioned variables except wet bulb temperature and humidity, which are environmental data), a network with 6 input and 1 output was trained. In such a way, that each time, one of the dependent variables was used as output and the other 6 remaining variables were used as input.
Thanks for your reply! I have another question regarding the hidden layer nodes. How were the number of hidden layer nodes chosen?
To determine the best number of hidden layer nodes, we performed a grid search.
Thanks for your reply!
Thank you for your interest and your questions.