Research Progress of Artificial Neural Network and Its Application in Fault Diagnosis of Chemical Industry
Zhihui Zhao & Jiying Li · Journal of Engineering Research and Reports · 2022
Many characteristics exhibited by artificial neural networks, such as nonlinearity, large scale, strong parallel processing ability, as well as robustness, fault tolerance, and strong self-learning ability, make it attractive for fault detection and diagnosis in complex systems....
Open access
Research Article
10.9734/jerr/2022/v23i12791