Answers are grounded in this paper and cite their sources.
Neural network modeling achieves superior outcomes for machines, highlighting diagnostic and monitoring benefits.
In this paper, we propose a neural network-based modeling approach to achieve a model of an asynchronous machine. In addition, an adaptation is used for superior modeling estimation. The proposed approach is based on the use of multi-neural networks, so that the number of neural networks is set according to the learning error measurements of a single neural network. In addition, the effectiveness of a multi-neural network model has been verified by comparison with a single-neural network model. This new methodology offers a precise model that can be used in diagnostic, monitoring, and supervision systems.
No takes yet. Share an insight, caveat, or question.
Ghrieb et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: