Performance Prediction for a Marine Diesel Engine Waste Heat Absorption Refrigeration System
نویسندگان
چکیده
The output of the absorption refrigeration system driven by exhaust gas is unstable and efficiency low. Therefore, it necessary to keep performance systems in a stable state. This will help predict dynamic parameters thus control system. paper presents machine-learning algorithm for predicting key an ammonia–water Three new algorithms, Elman, BP neural network (BPNN), extreme learning machine (ELM), are tested parameters. predicted according parameters, cooling adjusted values achieve goal output. After comparison, ELM has fast speed, good generalization performance, small test set error sum, so selected as final optimal prediction algorithm.
منابع مشابه
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ژورنال
عنوان ژورنال: Energies
سال: 2022
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en15197070