Hybrid deep learning model for ozone concentration prediction: Comprehensive evaluation and comparison with various machine and deep learning algorithms

• Main Authors: Yafouz, Ayman, Ahmed, Ali Najah, Zaini, Nur'atiah, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed
• Format: Article
• Published: Taylor & Francis 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/28354/
• Institution: Universiti Malaya

To accurately predict tropospheric ozone concentration(O-3), it is needed to investigate the variety of artificial intelligence techniques' performance, such as machine learning, deep learning and hybrid models. This research aims to effectively predict the hourly ozone trend via fewer input va...