Enhancing Thermo-Acoustic Waste Heat Recovery through Machine Learning: A Comparative Analysis of Artificial Neural Network–Particle Swarm Optimization, Adaptive Neuro Fuzzy Inference System, and Artificial Neural Network Models

Enhancing Thermo-Acoustic Waste Heat Recovery through Machine Learning: A Comparative Analysis of Artificial Neural Network–Particle Swarm Optimization, Adaptive Neuro Fuzzy Inference System, and Artificial Neural Network Models

Waste heat recovery stands out as a promising technique for tackling both energy shortages and environmental pollution. Currently, this valuable resource, generated through processes like fuel combustion or chemical reactions, is often dissipated into the environment, despite its potential to signif...

Full description

Bibliographic Details
Main Authors: Miniyenkosi Ngcukayitobi, Lagouge Kwanda Tartibu, Flávio Bannwart
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:AI
Subjects:
thermo-acoustic
generator
artificial neural network
particle swarm optimization
adaptive neuro-fuzzy inference system
Online Access:https://www.mdpi.com/2673-2688/5/1/13

Internet

https://www.mdpi.com/2673-2688/5/1/13

Similar Items