Neural Network Model to Predict Spatiotemporal Patterns of users inside Buildings

Highlights

• Developed an ANN algorithm called MLP to predict spatiotemporal patterns of mobile device of user such as location of mobile device, type of mobile device, and time
• Prepared the dataset for training of MLP model by using ETL methods
• The performance of the indoor positioning MLP model outperformed other start-of-art Machine Learning algorithms in the literature