Open Access
Review
Table 11
Prospects and theoretical foundations of cutting-edge intelligent technologies in soft sensing models.
| Technology direction | Core innovation | Expected metrics | Theoretical Basis |
|---|---|---|---|
| Quantum computing optimization | Quantum Convolutional Neural Network (QCNN) | 100× faster training speed | Quantum entanglement feature encoding [49] |
| Neuro-symbolic systems | Attention mechanisms guided by symbolic rules | >90% decision interpretability | Fuzzy cognitive maps [50] |
| Spiking neural networks | Bio-inspired event-driven computation | 80% reduction in energy consumption | Biophysical neuron dynamics [51] |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.