Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM10 forecasting
作者：
Highlights：
• An IoT-based monitoring and prediction system for PM10.
• Six IAQ and thermal comfort parameters have been recorded.
• Novel approach using Fuzzy Inference System Tree optimized with PSO and GA.
• Result comparison indicates that proposed model outperformed conventional models.
• The proposed GA optimized FIST model shows RMSE = 1.2101.
摘要
•An IoT-based monitoring and prediction system for PM10.•Six IAQ and thermal comfort parameters have been recorded.•Novel approach using Fuzzy Inference System Tree optimized with PSO and GA.•Result comparison indicates that proposed model outperformed conventional models.•The proposed GA optimized FIST model shows RMSE = 1.2101.
论文关键词：Indoor air quality,Fuzzy Inference System,Forecasting,Genetic Algorithm,Particle Swarm Optimization
论文评审过程：Received 1 January 2021, Revised 30 April 2021, Accepted 6 June 2021, Available online 10 June 2021, Version of Record 15 June 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115376
