scholarly journals The prediction of indoor air quality in office room using artificial neural network

2018 ◽  
Author(s):  
Jouvan Chandra Pratama Putra ◽  
Safrilah ◽  
Mohammad Ihsan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Artificial Neural

scholarly journals Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)

Sensors ◽  
2015 ◽  
Vol 15 (5) ◽  
pp. 11665-11684 ◽  
Author(s):  
Shaharil Saad ◽  
Allan Andrew ◽  
Ali Shakaff ◽  
Abdul Saad ◽  
Azman Kamarudin ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Indoor Air Quality Assessment Based on Genetic Artificial Neural Network

2013 ◽  
Vol 726-731 ◽  
pp. 1147-1150 ◽  
Author(s):  
Zhe Hua Du
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Air Quality ◽  
Quality Assessment ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Quality Assessment ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Artificial Neural

A new method for indoor air quality assessment with training artificial neural network prediction model was presented. Genetic algorithm was used to train artificial neural network prediction model in this method. The train sample for artificial neural network learning model was grading standard. According to the weight and threshold after network study, this method could be used to make assessment on indoor air quality. The example of indoor air quality assessment demonstrated that this method improved prediction precision. This assessment method is more accurate than the traditional assessment methods. Moreover, it has the ability of global optimization, self-learning, self-adaption. This algorithm overcomes the shortcomings of traditional BP artificial neural network algorithm.

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