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Chaos-Enhanced, Optimization-Based Interpretable Classification Model and Performance Evaluation in Food Drying
DOI:10.3390/biomimetics11010078.png)
摘要
En
Keyword:
smart food drying
explainable artificial intelligence
rule mining
energy efficiency
sunflower optimization algorithm
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期刊
B
IF:
3.9
论文数:
3.2K
被引数:
5.1K
机构
引用论文
Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm
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Das, M.; Pektezel, O.; Barut, C.; Yildirim, G.; Alatas, B. Case Studies in Thermal Engineering Explainable Artificial Intelligence for Energy Efficiency in Experimental Refrigeration Systems: Advanced Cutting-Edge Sunflower Optimization. Case Stud. Therm. Eng. 2025, 73, 106581. [Google Scholar] [CrossRef]Das, M.; Pektezel, O.; Barut, C.; Yildirim, G.; Alatas, B. 热工程案例研究:实验制冷系统能效的可解释人工智能:先进的尖端向日葵优化。Case Stud. Therm. Eng. 2025, 73, 106581. [Google Scholar] [CrossRef]
Modeling the Energy Consumption of R600a Gas in a Refrigeration System with New Explainable Artificial Intelligence Methods Based on Hybrid Optimization
BIOMIMETICS
IF3.9
Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence
IEEE ACCESS
IF3.6

