Desiccant wheel system modeling improvement using multiple population genetic algorithm training of neural network
Author:
Affiliation:
1. Department of Mechanical Engineering, Academy of Armored Forces Engineering, Beijing, China
2. Taiyuan Satellite Launching Center, Taiyuan, China
Publisher
Informa UK Limited
Subject
Physical and Theoretical Chemistry,General Chemical Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/07373937.2016.1260031
Reference21 articles.
1. An Overview of Adsorbents in the Rotary Desiccant Dehumidifier for Air Dehumidification
2. Performance of a recirculating dryer equipped with a desiccant wheel
3. Experimental investigation of a desiccant dehumidifier based on evacuated tube solar collector with a PCM storage unit
4. Analytical modeling of a desiccant wheel
5. On Dryer Energy Performance and Controllability: Generalized Modeling and Experimental Validation
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