This paper proposes a concept for intelligent energy management of a distillation column based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) that combines the interpretability of fuzzy logic with the learning capability of artificial neural networks. A structural scheme is developed comprising a neuro-fuzzy plant-identification block, a neuro-fuzzy controller trained by a hybrid algorithm, and an energy-management module that keeps product-quality indices within an admissible specification band while minimising reboiler duty.
| Mualliflar | Дошанова, Малика |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-08-23 |
| Son | 3 |
| Betlar | 72-91 |
| Til | Rus |
идентификация, машинное обучение;, интеллектуальные системы управления, автоматизированные производственные линии, искусственный интеллект, нечеткая логика, оптимизация, Интернет вещей, энергоэффективность, качество продукции., distillation column, energy efficiency, intelligent control, neuro-fuzzy systems, ANFIS, fuzzy logic, energy management, object identification, hybrid learning, computational experiment.
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